bluuebunny/crossref_metadata_2025 huggingface dataset:
Model Project Based Learnıng Dengan Medıa Dıorama Mengoptımalkan Keterampılan Berbıcara Dan Menulıs Karangan Narası Sıswa Kelas V
Authors: Putra  , Rusnilawati
Published: January 2024

Teaching writing is something that is always taught in elementary schools. Even though almost all Indonesian language learning activities include writing, students' writing skills are still quite low. The level of proficiency in writing narrative essays is still quite low because students feel they lack writing talent and have difficulty translating their thoughts into clear and effective writing. This research aims to find out whether the Project Based Learning model with diorama media can optimize the speaking and narrative writing skills of class V students. This research is a quantitative research with a Pretest–Posttest Control Groupi Design research design. The population of this study was all fifth grade elementary school students in Gugus Melati. The sample was determined using a random sampling technique and class V of SDN Kaloran was determined as the experimental class, and class V of SDN 2 Sendang as the control class with a total of 20 students each. Data collection methods are carried out by means of observation, written tests, and documents. The data analysis techniques used were normality test, homogeneity test, paired sample t-test, independent t test, and anova test. The results of the research obtained an Fcount value of 4.694 with a significance value of 0.037<0.05 and Ha was accepted. So it can be concluded that the Project Based Learning Model with diorama media optimizes the speaking and narrative writing skills of class V students.
Refleksi Penguatan Profil Pelajar Pancasila melalui Strategi Menulis Jurnal Syukur
Authors: Isnaini Damayanti Maryam , Istiq'faroh Nurul , Hendratno Hendratno , Rukmi Asri Susetyo , Abidin Zaenal , Solihin Annas
Published: January 2024

This research discusses the implementation of students' character values with a focus on the Pancasila Student Profile through the strategy of writing a Gratitude Journal. This study utilizes a mixed-method approach, combining qualitative and quantitative methods. The research subjects were undergraduate students majoring in Elementary School Education at the State University of Surabaya. The research findings indicate that the majority of students are capable of reflecting the values of the Pancasila Student Profile in their reflective writings, particularly in aspects of faith, independence, mutual cooperation, global diversity, critical thinking, and creativity. However, improvements in language and writing style are still required. These results have significant relevance to higher education in Indonesia, highlighting the importance of character development in students and serving as a foundation for curriculum and instructional enhancements. In conclusion, the activity of writing a Gratitude Journal is effective in assisting students in reflecting character values that align with the Pancasila Student Profile.
Jam Kosong & Upaya Guru Mengatasinya di Sekolah Dasar
Authors: Alifah Asma Amalia  , Muhammad Abduh
Published: January 2024

There are three main components in education, namely teachers, students, and an effective curriculum that must collaborate in the learning process in order to create effective learning and achieve goals. The following three components have the same goal with different roles so that they cannot be separated. If one of them is missing then learning can run ineffectively. This research aims to explore more deeply how teachers manage supervision during free time. The research method uses descriptive qualitative analytical techniques and research subjects are taken from the principal, teachers and students of SD N 2 Canden. Data collection techniques are by means of observation, interviews and documentation. Data analysis technique with several stages, namely data collection, data reduction, data presentation and drawing research conclusions. The results and discussion show that several teachers left the classroom due to illness, training, community activities and teacher mobilization. during free time, it is still supervised by a teacher who is not there at that time or the teacher who is closest to the empty class and appoints several students to coordinate the class. The conclusion of this research is that the teacher's efforts to overcome this are by giving assignments by adjusting the material being studied and providing additional hours if there is material that is left behind
Implementasi Profil Pelajar Pancasila Beriman Bertakwa Kepada Tuhan Dan Berakhlak Mulia Pada Kesantunan Barbahasa
Authors: Paramida Cicik paramida , Muhammad Abduh
Published: January 2024

Language has a very important function to learn, with the language it can communicate with others, therefore in communicating it is necessary to use polite language. Nowadays children speak using impolite language and speak rudely, thus this study aims to implement the profile of pancasila students who believe in fearing God Almighty and have noble morals. Research conducted with qualitative research with a case study approach. Data collection techniques are interviews, observation and documentation. The classes taken were class IV, V, VI and each class was taken by 5 children randomly. The data analysis techniques used in this study are data collection, data reduction, data presentation, and conclusions. The results of the research are the implementation of the profile of pancasila students, who believe in God Almighty and have noble morals can provide teaching
Perspektıf Glokal Dalam Implementası Teachıng At The Rıght Level(Tarl) Pada Pembelajaran Berdıfrensıası Pada Kurıkulum Merdeka
Authors: Indartiningsih Duhwi , Mariana Neni , Subrata Heru
Published: January 2024

Differentiated Learning in the Merdeka Curriculum is a combination of global and local, namely the philosophy of Ki Hajar Dewantara. Differentiated learning is implemented in Indonesia according to the TaRL approach and combines with the philosophy of Ki Hajar Dewantara as a global perspective in the locality in Indonesia. The differentiation of TaRL implementation in Indonesia is that it is adjusted to Ki Hajar Dewantara's philosophy, which is used for all subjects and not only for literacy and numeracy. The author believes that the Teaching at the Right Level (TaRL) approach can be used for all subjects and for elementary, junior high, and high school levels. This has been done in Indonesia that the Teaching at the Right Level (TaRL) approach in the Merdeka Curriculum, namely differentiated learning, can be used for all subjects for elementary, junior high and high school levels and is able to improve student learning outcomes and foster optimism in students learning according to their level making students more confident, comfortable and happy to learn in class. The author recommends that teachers develop and implement learning with the TaRL approach or differentiated learning for all subjects. Teachers can collaborate the TaRL approach with learning approaches or models that can optimise student learning outcomes
Implementasi Model Teams Games Tournament untuk Meningkatkan Kemampuan Numerasi Siswa Sekolah Dasar
Authors: Ayunda Rani , Riduan Febriandi
Published: January 2024

Numeracy has an important role in helping students to be able to solve problems that can be encountered in the surrounding environment. This research is Classroom Action Research (PTK) aimed at improving students' numeracy skills through the application of the Teams Games Tournament (TGT) model in mathematics subjects. This research method is Classroom Action Research (PTK) which is carried out in 2 cycles consisting of 4 stages, namely planning, implementation, observation and reflection. The subject of this research was class V at SDN 34 Lubuklinggau with a total of 19 students. Data collection techniques are observation, interviews, and tests. Data analysis techniques use average score or percentage techniques. The results of this research show that the application of the Team Games Tournament (TGT) model can improve the mathematical numeracy skills of class V students at SDN 34 Lubuklinggau. The average percentage of students' numeracy abilities in the pre-cycle was 21.1% in the first cycle to 47.4%, then in the second cycle it increased to 68.42%. This research concludes that the application of the Teams Games Tournament (TGT) model can improve the mathematical numeracy skills of class V students at SDN 34 Lubuklinggau in mathematics lessons.
Pengaruh Media PALINGBADA Terhadap Pemahaman Konsep Keliling Bangun Datar Di Kelas III Sekolah Dasar
Authors: Virra Virra Septiani Suherman , Isrok’atun  , Ani Nur Aeni
Published: January 2024

This study was interrupted with the problem of students having difficulty in understanding the concept of flat buildings, because in the teaching learning process, teachers only explain directly from examples of issues and how to solve them without guiding or directing students to understand the concept in advance, without the presence of relevant media to discern the concept. The purpose of the research was to find out the influence of PALINGBADA media on the understanding of the concept of two-dimensional circumference in Grade III of Elementary School and to know that there are differences in the influences of PALINGBADA and conventional media on understanding the concepts of two-dimensional circumference at Grade III of Elementary School. The research uses experimental methodologies, the type of research used is quasi-experimental with a design of non-equivalent groups. In particular, the research instrument is a test consisting of multiple-choice questions. Data analysis that are used, including independent sample t-tests, n-gain tests, homogeneity testing, and normality procedures. The results of the research showed that there was a media influence of PALINGBADA on the understanding of the concept of two-dimensional in class III and there was an influence difference between the media and conventional media on understanding of two-dimensional concepts in the class III of the Elementary School.
Penerapan Media Pop Up Book Pada Pembelajaran IPAS Materi Ayo Berkenalan Dengan Bumi Kita Pada Siswa Kelas 5 SD Negeri 2 Kalirejo
Authors: Kamila Unialicha Syarifah , Sukartono
Published: January 2024

Low student interest in learning is a cause that comes from teachers paying less attention to learning facilities for students at school, often we find that the learning that teachers provide to students is still very simple, this can affect student interest in carrying out learning. The purpose of this study is to describe the planning, implementation, supporting factors and inhibiting factors of the application of pop up book media in learning IPAS material Let's Get Acquainted with Our Earth in grade V students of SDN 2 Kalirejo.  The type of research used is qualitative with a descriptive approach design. Data collection techniques through observation, interviews, and documentation. The research place was conducted at SD Negeri 2 Kalirejo. The research time started from August 2023 to November 2023. Data validity uses triangulation of sources and techniques. Data analysis techniques use data analysis steps according to Miles and Huberman which consist of data collection, data reduction, data presentation, conclusions. The results of this study indicate that by using Pop Up Book learning media on the learning IPAS, students look enthusiastic in participating in learning, students are more focused and active to answer the material presented, students feel happy with learning using pop up book media, the application of pop up book media has succeeded in motivating students, the material conveyed is easily understood by students.
Pembelajaran IPAS Berbasis Potensi Lokal Pisang Untuk Meningkatkan Ecoliteracy Siswa Kelas 4 SD
Authors: Dwipranoto Eko Setiyawan , Sudarti  , Wuryaningrum Rusdhianti
Published: January 2024

Education is expected to not only assess cognitive aspects but can develop students' character who cares about the environment in the era of globalization and increasingly advanced technology. Technological advances have an impact on reducing concern for the environment, this is what encourages learning to use the potential of the school environment to help encourage environmental awareness by increasing students' ecoliteracy insight at SD Negeri Kaliwungu 03, especially grade 4 through science subjects. This research was conducted at SD Negeri Kaliwungu 03 using the pre-experimental design method. The resulting data was analyzed using Paired Sample t-Test. The results for 11 indicators in 3 aspects from 10 respondents showed that the average value of the observation results increased from 19.90 to 28.50 with a significance value in the Paired Sample t-Test test which obtained a result of 0.000 and this value was <0.05. Based on the research that has been carried out, it can be concluded that there has been an increase in students' understanding of ecoliteracy after visiting banana processing places around the school. In this way, learning science and technology using the local potential of bananas can be said to provide an increase in the ecoliteracy of students at SD Negeri Kaliwungu 03.
Kemampuan Pemecahan Masalah Dalam Menyelesaikan Soal Volume Kubus
Authors: Kurino Yeni Dwi , Tatang Herman  , Turmudi  , Wahyudin  , Ani Rosidah  , Dudu Suhandi Saputra
Published: January 2024

Problem solving ability is an ability that every student should be able to master so that the learning process runs smoothly. In problem solving, students are expected to have the ability to understand concepts, solve problems and be able to relate concepts to each other. The ability to understand problems must be related to students' daily lives, so that students can easily and longer remember the material given by the teacher. The aim of this research is to analyze the problem solving abilities faced by each student in solving volume cube problems. This type of research is qualitative research with qualitative descriptive methods. Subject selection was carried out using the Purposive Sampling method and 6 students were obtained as research subjects. Data collection was carried out using test and non-test methods, for the test students were given questions in the form of cube volume questions and for the non-test interviews and observations were carried out. Based on the research results, it shows that students who have high problem solving abilities almost master all indicators of problem solving abilities because there is only 1 indicator that students lack mastery, namely the indicator of solving problems with a plan. Students who fall into the category of moderate problem solving ability are able to understand problems and formulate plans but are still considered lacking in problem solving ability because there are several indicators that one of the students lacks control over, namely understanding problems and solving problems with a plan. Students who fall into the low problem solving ability category are considered to be lacking in problem solving ability because they lack mastery of each indicator, namely understanding problems, preparing plans, implementing plans, and looking back.
THE INFLUENCE OF PRODUCT QUALITY AND PRICES ON CONSUMER LOYALTY MEDIATED BY CONSUMER SATISFACTION
Authors: Alamsyah M Haidar Ali , Asnawi Nur
Published: January 2024

Studi ini dilatarbelakngi oleh ketertarikan peneliti dalam melihat bisnis kuliner Warung Bang Gentong Kota Malang yang terus  memiliki dinamika  cukup menggembirakan. Hal ini ditunjukkan dengan adanya peningkatan konsumen secara terus menerus sehingga tetap bisa bersaing dengan kuliner lain bahkan yang lebih besar. Tujuan dari penelitian ini adalah untuk mengetahui faktor-faktor yang mempengaruhi Consumer Loyality dan Consumer Satifaction untuk produk warung bang gentong. penelitian ini bersifat kuantitatif. Populasi penelitian ini adalah seluruh pelanggan warung bang gentong. Metode non probability sampling yang dikombinasikan dengan teknik sampling purposive akan digunakan dalam penelitian ini untuk mendapatkan 140 responden. Temuan dari penelitian ini menunjukkan bahwa produk quality tidak berpengaruh positif dan signifikan terhadap consumer loyality. Prices dan consumer satisfaction memiliki pengaruh positif dan signifikan terhadap consumer loyality. Produk quality dan prices memiliki pengaruh signifikan terhadap consumer satisfaction. dalam penelitian ini consumer satisfaction sebagai variabel mediasi berpengaruh positif dan signifikan terhadap consumer loyality.
ANALISIS SWOT PENGEMBANGAN WISATA HALAL DALAM MENINGKATKAN PERTUMBUHAN EKONOMI DI DAERAH LAMPUNG
Authors: Sari Yuniar , Ridwansyah Ridwansyah , Anggraeni Erike
Published: January 2024

Pariwisata merupakan salah satu kawasan pengembangan yang saat ini sedang digalakkan oleh pemerintah. Pariwisata memainkan peran penting dalam meningkatkan pendapatan lokal di provinsi Lampung karena ada banyak wisata di daerah tersebut. Tujuan dari penelitian ini adalah untuk menganalisis potensi dan strategi pengembangan pariwisata halal sebagai faktor penting untuk meningkatkan pendapatan asli daerah di Provinsi Lampung, dengan memperhatikan prinsip-prinsip ekonomi Islam. Metode penelitian yang digunakan meliputi survei di tempat, wawancara mendalam, dan analisis SWOT (kekuatan, kelemahan, peluang, dan ancaman). Studi ini memberikan wawasan rinci tentang preferensi dan harapan Halal dalam pengembangan pariwisatanya melalui wawancara dengan pengelola taman wisata lembah hijau. Selain itu, studi ini juga akan mengidentifikasi infrastruktur dan fasilitas yang diperlukan untuk mendukung pengembangan pariwisata halal di provinsi Lampung. Studi ini menggunakan kerangka ekonomi Islam untuk menyelidiki dampak ekonomi dan sosial dari pengembangan pariwisata halal, termasuk distribusi pendapatan, penciptaan lapangan kerja, dan dampak positif pada masyarakat lokal. Hasil penelitian ini bertujuan untuk memberikan rekomendasi kebijakan kepada pemerintah daerah dan pemangku kepentingan industri pariwisata untuk memanfaatkan potensi pariwisata halal sebagai sumber pendapatan yang berkelanjutan. Kesimpulan dari penelitian ini bertujuan untuk memberikan bimbingan kepada pemerintah provinsi Lampung dalam mengembangkan sektor pariwisata dengan tetap memperhatikan nilai-nilai ekonomi Islam. Penerapan strategi pengembangan wisata halal yang tepat diharapkan dapat memberikan dampak positif bagi peningkatan pendapatan asli daerah, peningkatan kesejahteraan masyarakat, dan penguatan posisi Provinsi Lampung sebagai destinasi pariwisata yang inklusif dan berkelanjutan.
Microglia as a Possible Alternative Therapeutic for Dementia
Authors: Alavez-Rubio Jessica Sarahi , Juarez-Cedillo Teresa
Published: January 2024

Dementia is a syndrome in which there is deterioration in memory, behavior, and the ability to perform everyday activities. Alzheimer’s disease and vascular dementia are the most common forms of dementia. There is evidence supporting the hypothesis that inflammatory and immune mechanisms are involved in dementia. Microglia, the resident macrophage tissues in the central nervous system, play a significant role in neuroinflammation and play an important role in amyloid-β clearance in the brain, and impaired microglial clearance of amyloid-β has also been shown to be involved in the pathogenesis of Alzheimer’s disease. However, there is also abundant evidence that microglia have harmful actions in dementia. Once activated, they can mediate uptake at neuronal synapses. They can also exacerbate tau pathology and secrete deleterious inflammatory factors that can directly or indirectly damage neurons. Thus, depending on the stage of the disease, microglia can act both protectively and detrimentally. Therefore, it is still necessary to continue with studies to better understand the role of microglia in the pathology of dementia. Currently available drugs can only improve cognitive symptoms, have no impact on progression and are not curative, so identifying and studying new therapeutic approaches is important. Considering the role played by microglia in this pathology, it has been pointed out as a possible therapeutic approach. This manuscript aims to address the relationship between microglia and dementia and how this relationship could be used for therapeutic purposes.
Relationship Between Future Thinking and Prospective Memory in Alzheimer’s Disease
Authors: El Haj Mohamad , Moustafa Ahmed A. , Antoine Pascal , Chapelet Guillaume
Published: January 2024

Background:

Future thinking and prospective memory are two cognitive processes oriented toward the future and reliant on the ability to envision oneself in future scenarios.

Objective:

We explored the connection between future thinking and prospective memory in individuals with Alzheimer’s disease (AD).

Methods:

We invited both AD participants and control participants to engage in event-based prospective memory tasks (e.g., “please hand me this stopwatch when I inform you there are 10 minutes remaining”) and time-based prospective memory tasks (e.g., “close the book you are working on in five minutes”). Additionally, we asked participants to engage in a future thinking task where they imagined upcoming events.

Results:

Analysis revealed that AD participants exhibited lower performance in both prospective memory tasks and future thinking compared to the control group. Importantly, we identified significant positive correlations between the performance on event- and time-based prospective memory tasks and future thinking abilities among AD participants.

Conclusions:

These findings underscore the connection between the decline in both prospective memory domains and the ability to envision future events in individuals with AD. Our results also shed light on the challenges AD individuals face when trying to project themselves into the future to mentally pre-experience upcoming events.
Research on Accurate Registration of Small Cabin Cable for AR Guidance
Authors: Han Kui , Wu Tao , Geng Junhao
Published: January 2024

The application of augmented reality (AR) technology in the assembly process of small cabins is currently a development trend. However, in the assembly guidance of the cabin cable network, the flexible characteristics of the cables make it a significant challenge for registration, and current technology makes it difficult to accurately overlay virtual cables into real scenarios. To address these issues, this article proposes an AR-oriented precise registration method for cabin cables. Firstly, precise registration of the model is achieved through coarse registration to determine the initial pose and subsequent pose correction. Subsequently, by analyzing the composition of flexible cables, the precise registration of cables is achieved through the assembly relationship between the cabin model and the flexible cables and the transformation of coordinate systems. Through this strategy, we have successfully achieved precise stacking of virtual, flexible cables in real scenarios. Finally, an experimental verification was conducted using a small missile cabin cable registration as a case study, and this method achieved accurate cable registration with a registration error of within 1.5 mm.
Remaining Useful Life Estimation of Lenses for an Ion Beam Etching Tool in Semiconductor Manufacturing Using Deep Convolutional Neural Networks
Authors: Wan Jian , McLoone Seán
Published: January 2024

Maintenance plays a significant role in semiconductor manufacturing as plant yield, factory downtime and operation cost are all closely related to maintenance efficiency. Accordingly, maintenance strategies in semiconductor manufacturing industries are increasingly shifting from traditional preventive maintenance (PM) to more efficient predictive maintenance (PdM). PdM uses manufacturing process data to develop predictive models for remaining useful life (RUL) estimation of key equipment components. Traditional approaches to building predictive models for RUL estimation involve manual selection of features from manufacturing process data. This paper proposes to use deep convolutional neural networks (CNN) for the task of estimating RUL of lenses for an ion beam etch tool in semiconductor manufacturing. The proposed approach has the advantage of automatic feature extraction through the use of convolution and pool filters along the temporal dimension of the optical emission spectroscopy (OES) data from the endpoint detection system. Simulation studies demonstrate the feasibility and the effectiveness of the proposed approach.
Automated Pricing and Replenishment Decision for Vegetable Products Based on Hybrid Machine Learning Models
Authors: Zheng Yujia , Li Tianhao , Ma Weizhi , Li Zhengping , Wang Lijun , Li Ying
Published: January 2024

Fresh produce supermarkets play a vital role in modern cities, but their management is challenging due to the perishable nature of vegetables. This research proposes and implements an automated pricing and replenishment strategy based on hybrid ML models and massive historical sales data. The combination of Seasonal ARIMA, Linear Regression, and Gradient Boosting Decision Tree (GBDT) results in an average R2 for different categories of vegetable products of 0.993, indicating high model accuracy and fitting, which could guide pricing and replenishment strategies for the merchant who sells time-sensitive products.
PID Frequency Tracking Method of Electrodynamic Exciter Based on Resonant Effects
Authors: Jiao Shengshuan , Liu Wentao , Wu Jiafeng , Wang Shouren , Li Tiantian
Published: January 2024

A new type of electrodynamic exciter was proposed based on resonant effects in this paper. A PID frequency tracking method was studied to keep the driving frequency consistent with the resonant frequency. The circuit system model of the electrodynamic vibration exciter was built and its impedance characteristics were obtained. It was established that the relationship of between the phase difference and different frequency by simulation. The influence of the output time and stability of the PID parameters were considered, and the parameters were optimal selected, which improved the frequency tracking accuracy of the exciter and speed up the output response speed by 10%.
Network Traffic Recognition and Classification Based on Deep Learning
Authors: Song Zhihao , Zhang Lanhua , Wang Jin , Wang Xiaoyan
Published: January 2024

Deep learning of network traffic is a research method that mimics the structural functions of the human nervous system to identify, classify, and predict data. We propose a new model based on Conv-LSTM to improve the accuracy and efficiency of network encrypted traffic recognition. Based on the public CIC-ISD2017 dataset, the new model is tested and measured, and evaluated based on the constructed confusion matrix and ROC graph. Comparing it with traditional Conv-LSTM, decision tree method, and RF&LSTM methods, it was found that the new model performs better and can perform well in multi classification tasks, with an accuracy rate of up to 99.60%. This model provides a reference solution for relevant applications in the field of network security.
BiFormer: An End-to-End Deep Learning Approach for Enhanced Image-Based Photoplethysmography and Heart Rate Accuracy
Authors: Liu Shaohua , Yang Yuchong , Jing XingJian , Li Bin , Liu Hao , Zhu Shangwei , She Chundong
Published: January 2024

Image-based photoplethysmography (IPPG) holds promise for applications like health surveillance and emotional state analysis. Despite recent progress in crafting deep learning-centric IPPG methodologies, which predominantly forge a correlation between spatiotemporal heart rate (HR) feature imagery and corresponding HR readings, these techniques encounter constraints in extended spatiotemporal comprehension and engagement. In this manuscript, we introduce the BiFormer architecture, an end-to-end solution integrating temporal difference convolution, multi-head self-attention transformer modules, and bidirectional long short-term memory networks to refine signal estimations and bolster the model’s discernment prowess. Our framework was appraised through intra-database and inter-database evaluations on three accessible datasets, evidencing superiority over conventional IPPG strategies in HR accuracy metrics. Notably, assessments on the VIPL-HR dataset indicated a reduction in the average root mean square error to 7.24 beats per minute.
Distribution Network Double-Layer Optimization Strategy Based on Distributed Generation
Authors: Zhu Xiaohu , Wang Qing , Li Lirong
Published: January 2024

The increasing use of renewable energy in the distribution network has led to several issues such as large load flow calculation and frequent overvoltage, making it challenging to ensure the quality of power supply. This paper presents a two-level optimization strategy that leverages the cooperation of distributed power supply and active distribution network to address these challenges. The upper-level model aims to minimize distribution network loss, improve voltage stability, and reduce the total cost of network operation. The lower-level model focuses on coordinated control of distributed power supply and other devices to enhance user demand response and ensure real-time dispatching reliability. To solve the model, this paper utilizes an improved binary particle swarm optimization (BPSO) and genetic algorithm (GA) based on the model’s characteristics. The results demonstrate that the proposed bi-level optimization method effectively enhances voltage distribution and smooths the load peak-valley difference.
A New Pedestrian Detection Method Based on Histogram of Oriented Gradients and Support Vector Data Description
Authors: Ke Lei , Luo Yujing
Published: January 2024

Auto-driving is an important technology development direction, and pedestrian detection is an indispensable key technology to achieve this goal, which belongs to the hot research field of computer vision. The main methods in the field of pedestrian detection are based on statistical learning, but in practice, this method has some problems such as incomplete negative sample data set and complex classifier. To solve these problems, a support vector domain data description and Histogram of oriented gradients pedestrian detection algorithm are proposed, hog and SVDD were used to learn and extract the features of the data set samples, and the penalty terms were solved by the equation. Joseph-louis Lagrange operator was introduced to reduce the complexity of the classifier, furthermore, the generalization degree between the training set of negative samples and the real scene is enhanced. First, a multi-scale candidate sample is generated by using the sliding window. Secondly, Histogram of oriented gradients statistics is used to extract the features of the image samples. Thirdly, based on the complete positive samples and the support vector domain, a single classifier with positive samples is trained to detect pedestrians. Experiments show that compared with the traditional pedestrian detection method based on statistical learning, the Hog and SVDD pedestrian detection algorithm has lower false positive rate and less total training samples, it has good generalization ability and certain practical research value, but needs more positive samples for training.
A VMD Harmonic Detection Method Based on Improved SVD Denoising
Authors: Li Xuan , Li Kaicheng , Xiao Xiangui , Li Beiao
Published: January 2024

Harmonic detection is a vital problem in power system, but the accuracy of harmonic detection is affected by noise. In order to suppress noise, this paper proposes the improved singular value decomposition (SVD) to denoise. Then, the optimal number of decomposition modes of variational mode decomposition (VMD) is determined with the aim of minimizing the residual of signal energy after Schmidt orthogonalization. The amplitude and frequency of each harmonic are detected by the Hilbert transform. The simulation shows that the algorithm can accurately identify the information characteristics of each harmonic and inter-harmonic, and has the advantages of high accuracy and small error.
Multi-Dimensional Based Intelligent Patrol Path Planning Design
Authors: Guo Deming , Liang Yi , Qiu Mingyue , Zhang Dianwei
Published: January 2024

With the rapid development of economy and technology and the continuous growth of population, urbanization is accelerating and the social situation is becoming more and more complicated. Especially in densely populated urban areas, the pressure of law and order rises significantly. In this context, public security patrol defense has become an important link in the maintenance of public security, and it is crucial to improve its effectiveness. In order to protect people’s lives and properties, this study integrates public security patrol with multidimensional path planning to optimize the patrol work. The current situation and challenges of the integration are analyzed, and algorithms such as FP-Growth, Mountaineering, Apriori, Artificial Potential Field, and Optimized Ant Colony are applied to realize multi-dimensional intelligent patrol paths in simulation. Prospects for the integration of the two are comprehensively explored to provide new ideas and guidance for the development of public security patrol, and to contribute wisdom and strength to the construction of a safer and more stable society.
Hermetic Interlayer Interconnection Technology Based on SAC305 Solder Paste
Authors: Hu Yongfang , Yan Kun , Wang Ziyuan , Wang Liuwei , Sun Yipeng , Wang Yuefei , Zhang Xinlong , Han Zongjie , Huang Qingan , Han Lei
Published: January 2024

In order to improve the long-term service reliability of advanced electronic devices and reduce the risk of chip overheating failure in the production process, the interlayer gas-tight interconnection technology architecture is favored by researchers because of the design of gas-tight and electrical signal interconnection simultaneously achieved in a single welding. The main hermetic interconnection technology with gold convex spot or gold tin micro convex spot has the disadvantages of high production and high technical barriers, which restricts the vigorous development of the industry. This paper is based on cheap SAC305 solder paste which has been the emerging advanced electronic packaging field favorite to carry out corresponding research. With 0.75mm or 1mm wide sealing ring and size/spacing of 0.4mm/0.8mm, 0.6mm/1.2mm or 0.8mm/1.6mm substrate pad combination, with double-sided prefabricated solder process, the domestic and foreign leading gas tight interconnection index has been obtained, which is as low as 1.1e-9Pa·m3/s. Meanwhile, the planarity is <0.2/100. There is no obvious abnormal electrical interconnection, and there is no evident index decline after environmental adaptability assessment. The number of rewelding is ≥2. This special design provides a new idea for the selection of solder and architecture design in the field of gas tight packaging.
Performance of the Modified MSE Upper Bounds Under Packet Loss and the gfGn Surroundings for the PTP Scenario
Authors: Avraham Yehonatan , Pinchas Monika
Published: January 2024

A time synchronization system utilized by computer networks is the PTP. The packet loss phenomenon may cause degradation in the clock skew or offset estimators’ performances from the mean square error (MSE) point of view. Recently, the same authors provided an algorithm for estimating the missing time stamps and MSE upper bounds for the modified clock skew estimators (the two-way delay (TWD) clock skew estimator and the one-way delay (OWD) clock skew estimators for the Forward and Reverse paths). Those MSE upper bounds help to estimate the entire amount of packets required by the system (from the perspective of the MSE) in the event of packet loss. The recently discovered upper bounds for the MSE are applicable to the fractional Gaussian noise (fGn) setting with a Hurst exponent parameter (H) between half and one. However, practical PTP systems may also be characterized as generalized fractional Gaussian noise (gfGn), with the a parameter in the range of 0 < a ≤ 1. The three revised clock skew estimators are tested in this study under the gfGn environment and packet loss scenario, and new MSE upper limits are provided for this case. The newly derived upper limits for the MSE applicable for the gfGn scenario are very useful, as will demonstrated by simulation results.
Deep Federated Feature Recommendation
Authors: Xue Bin , Zheng Qinghua , Li Zhinan , Zhao Weihu , Zhang Weihang , Feng Xue
Published: January 2024

Feature recommendation is one of the most critical and challenging problems in modern digital intelligence system. However, it is difficult to ensure privacy protection in many situations. To address this challenge, a deep federated feature recommendation method, called DF_Rec, is designed. Particularly, deep decentralized federated aggregation learning (DFAL) is jointly developed based on the ingenious combination of several deep frameworks and federated aggregation schemes. Extensive experiments are performed on three authoritative datasets, demonstrating that DF_Rec outperforms existing outstanding systems significantly.
A Numerical Planning-Based Method for Logistics Transportation
Authors: Rao Dongning , Xuan Mingtao , Liang Ruishi , Xu Zhenghui
Published: January 2024

The primary objective of logistics transportation vehicle scheduling is to guide transportation vehicles to complete logistics tasks in the shortest possible time while minimizing logistics costs. However, traditional research in logistics transportation vehicle scheduling has been criticized for its narrow focus, limited consideration of constraints, and often sub-optimal route planning, which hinder its practical applicability. To address these issues, we propose an AI Planning method to simulate logistics transportation vehicle scheduling scenarios. We utilize the PDDL language to construct standard planning tasks, and then employ the state-of-the-art planner to solve these tasks, generating planning solutions which are used as vehicle scheduling schemes. The experimental results demonstrate that our proposed method is capable of generating scheduling schemes in a relatively short time, guiding transport vehicles to complete logistics transportation tasks.
Design and Analysis of the Low-PAPR Synchronization Sequences for Unlicensed Band
Authors: Maltsev Alexander , Serunin Igor , Pudeev Andrey , Lee Seungmin , Hwang Jin-Yup , Huh Joong Kwan , Hanbyul Seo , Lee Sang-Wook
Published: January 2024

The similarity of topology and use cases between the 5G NR SL (Sidelink) and the IEEE 802.11 (Wi-Fi) technologies may provide an opportunity to extend Sidelink into unlicensed bands originally occupied mostly by Wi-Fi devices. However, for proper coexistence, Sidelink unlicensed band (SL-U) devices must adopt the current channelization in this band as well as channel access procedures. Channelization changes lead to the necessity of modifying the SL physical channels and signals to span across typical Wi-Fi 20 MHz channels. The simplest way to align the 5G NR numerology of synchronization sequences is a plain repetition of them in frequency domain to fill the all required bandwidth. However, such approach leads to a sharp increase in the peak-to-average power ratio (PAPR) value. In this paper, we provide a detailed performance analysis of the proposed design of SL-U synchronization sequences that achieve low PAPR values. The characteristics are studied in a non-stationary frequency-selective channel using a real model a power amplifier. It was shown that the use of an unmodified design of SL-U synchronization sequences has a decisive effect on their detection. The presented simulation results demonstrate comparable performance of the modified design of SL-U synchronization sequences with their design in a licensed band.
Design and Implementation on Citation Network Link Prediction System Based on GAT
Authors: Bao Yiqin , Xu Wenbin , Wang Lei
Published: January 2024

Link prediction has important practical value in many fields, such as social networks, bioinformatics, citation networks, etc. However, existing link prediction methods mainly have two major problems: firstly, they neglect the attribute information of nodes or edges, which limits the accuracy and robustness of prediction; Secondly, when dealing with large-scale complex networks, especially those with rich attribute information, their performance still needs to be improved. To address these issues, the paper designs a citation network link prediction system based on Graph Attention Network (GAT). The system preprocesses the citation network data, constructs and trains a GAT model, and then uses heterogeneous graph convolution and temporal graph convolution to handle the heterogeneity and dynamism of the citation network. Then, a graph sampling strategy is used to handle large-scale citation networks, Finally, use the trained GAT model to predict possible links.
Outage Performance of Dual-Hop Cellular Network with Underlaid V2V Communications
Authors: Zhou Momiao , Wu Fan , Li Yimeng , Sun Yanshi
Published: January 2024

Cellular communication and vehicular communication are two vital service types of the urban 6G system. In the design of cellular network, improving the quality of service (QoS) for cell-edge users is one of the most urgent requirements. In this paper we consider a dual-hop cellular network where a cell-center user serves as relay for a cell-edge user, so that the desired signal of the cell-edge user can be enhanced. The outage probability (OP) of this dual-hop cellular link is derived in presence of the co-channel interference from an underlaid vehicle-to-vehicle (V2V) link. Meanwhile, the OP of the V2V link is also derived considering the interference from the cellular relay node. We further make analysis to the outage performance of the two links in case that the voltage amplification gain of the relay node approaches infinity. Finally, simulation results verify the correctness of our derivations, and it is shown that the voltage amplification gain should be kept in medium regime to maintain the trade-off of the QoS between the cell-edge user and the V2V receiver.
Design and Engineering Practice of National Basic Geographic Entity Data Construction Technology
Authors: Zheng Yi
Published: January 2024

The vector element data of traditional surveying and mapping production is a digital abstract expression of the real world in the form of 2 dimensions, it is difficult to fully meet the actual needs of analysis, calculation and use in the 3-dimensional digital space. In response to this issue, this paper takes China’s 1:50000 fundamental geographic information feature data as the main data source to study the key technology and production process of national basic geographic entity data construction. Combined with engineering practice, the implementation process of key technologies such as transformation and reconstruction of geographic entities, semantic information supplement and improvement, entity coding, and entity relationship construction are described in detail. A practical and feasible process for constructing geographic entities has been formed, which effectively utilizes the advantages of geographic entities in information carrying, expression, sharing, and association. The first batch of national basic geographic entity data products show that the production process described in this article can quickly and effectively achieve the construction of geographic entities data, and can provide data and technical support for the integration of multi-scale geographic entities at the national, provincial and municipal levels.
High resolution magnetic field imaging probe with two rows of TMR sensors for small defects inspection
Authors: Long Cai , Wang Yuanyuan , Dong Haoran , Tao Yu , Ye Chaofeng
Published: January 2024

It is still a challenging problem to detect small defects for eddy current array probes, which requires the probes to possess excellent sensitivity, as well as high spatial resolution. This paper presents a novel high-resolution magnetic field imaging probe with two rows of tunneling magnetoresistance (TMR) array sensors. The bare die sensors are integrated on a printed circuit board by golden wire bonding technology. The two rows of sensors are placed staggered with each other. The data of the two arrays are merged into a matrix, in which way the image pixel pitch is increased to 0.25 mm. The probe employs a differential scheme to suppress the noise, so as to detect the weak signal of small defects. To highlight the weak defect indications, feature extraction and segmentation algorithms are developed. The experimental results confirm that the proposed method can inspect a small defect with dimensions 1 mm (length) × 0.1 mm (width) × 0.1 mm (depth) on a stainless-steel sample.
Rapid cycle deliberate practice improves resident performance during ELBW resuscitation
Authors: Hadfield B.R. , Sawyer T. , Moreira A.G. , Farner R. , Vasquez M.M.
Published: January 2024

BACKGROUND: Neonatal Resuscitation is a required competency for pediatric and family medicine residency programs. Simulation-based training can be used to supplement clinical experience. Rapid Cycle Deliberate Practice (RCDP) has been validated as an effective education model and is gaining favor over traditional simulation models. The aim of this study was to evaluate the effectiveness of a simulation-based rapid cycle deliberate practice (RCDP) intervention on extremely low birth weight (ELBW) infant resuscitation. METHODS: Pediatric and family practice residents were randomized to control and intervention groups and participated in pre- and post-NICU rotation simulations. The intervention group received one RCDP session. Simulations were scored by blinded video review for overall performance, positive pressure ventilation (PPV), endotracheal intubation and behavioral skills. Surveys assessed confidence in ELBW resuscitation. RESULTS: Forty-one residents participated in the study. The RCDP group performed better than the control group at post-rotation evaluation for overall resuscitation performance (65% vs 87%, p = 0.004), administering PPV (63% vs 88%, p = 0.006), and validated behavior skills (1.4 vs 2.0, p = 0.019). Residents in the RCDP group reported greater confidence with ELBW resuscitation. CONCLUSION: An educational intervention using RCDP was associated with improved resident performance and confidence in ELBW resuscitation. RCDP should be considered for NRP and ELBW resuscitation training.