Reviewerly/exHarmony huggingface dataset:
Edge Computing-Based Vehicle Detection in Intelligent Transportation Systems

Vehicle detection in intelligent transportation systems usually adopts cloud computing mode. The increasing amount of traffic surveillance video has brought challenges to the storage, communication, and processing of intelligent transportation systems based on cloud computing models. In this paper, we propose a vehicle detection scheme based on edge computing. First, the traffic surveillance video is preprocessed at the edge device. Using the frame difference algorithm based on structural similarity (SSIM) to remove video redundant frames, and avoid repeated frames in the subsequent extracted key frame sequence. Then, a frame difference algorithm based on local maxima is used to extract key frames as the basis for subsequent vehicle detection. Finally, the YOLOv5s is improved and used for vehicle detection. The efficient channel attention mechanism (ECA) is introduced to enhance the important features of the vehicle and suppress the general features to strengthen the detection network's ability to identify vehicle targets. At the same time, the Focal loss function is introduced to solve the positive and negative sample imbalance problem and improve the detection speed. The experimental results show that the scheme has more advantages than the original YOLOv5s in terms of precision, recall, and mean average precision.
Novel Technique of Healthcare Record Indexing and Recommendation Based on Trending Queries in Social Media

Recommendation of services and applications based on user-data analytics is the most common approach to understanding user requirements. In this article, a novel technique for user recommendation is proposed and validated. The technique uses a Twitter Application Programming Interface (API) handle-based dataset for evaluating and computing the recommendations. The technique uses an open platform Graphical User Interface (GUI) for keyword categorization and building a reliable support system for query analysis. API driven queries from Twitter are cross-validated with labeling techniques and trending hashtags. Typically, the defined tweets are validated to build a Healthcare Record Indexing (HRI) data structure. The HRI is used to support the decision-making and recommendation of services of various healthcare applications and tweets. The technique has trained 750 datasets of categorized clusters with 150 000 tweets (dynamic) datasets from Twitter API. The technique has performed 92.68 % in accuracy and 91.72 % in sensitivity of given datasets.
Quantum-Behaved Bat Algorithm Combining Convergence Factor and Self-Learning Mutation Strategies for Optimization

Quantum-behaved Bat Algorithm (QBA) has been successfully applied as an optimal technique for dealing with a variety of optimization problems. Nevertheless, QBA suffers from similar problems as other swarm intelligent algorithms, such as poor exploration search and falling into local optima in certain conditions. Aiming at these shortcomings, an improved algorithm that combines convergence factor and gold sinusoidal self-learning mutation strategies (CGQBA) is proposed. A directional convergence factor is designed for the global position update process, it can improve the exploration search ability of the algorithm. Meanwhile, a self-learning predictive mutation mechanism is added to the algorithm. It contributes to the algorithm to jump out of the local extremum. The improved CGQBA algorithm is tested on 20 test functions with different characteristics in the numerical simulation experiments. The results and statistical tests show that CGQBA algorithm has better convergence speed, accuracy and stability. What is more, the multi-threshold image segmentation is modelled as an optimization problem, CGQBA algorithm is applied to the optimization problem to further verify the effectiveness and practicability in the real-world optimization. The results compared with three classical segmentation methods illustrate that CGQBA algorithm can effectively solve the image segmentation problem. It has a better segmentation effect and anti-noise ability.
Increasing Text Filtering Accuracy with Improved LSTM

How to eliminate useless information in the vast network information and retain effective information is a problem that needs to be continuously explored in the field of deep learning. This paper conducts text classification on the network evaluation frequently encountered in daily life, mainly to screen out the meaningless comments published by Internet users, to have access to more useful information. In this paper, a text filtering model was constructed based on word vector and Long Short-Term Memory (LSTM) and improved by adding Deep Averaging Networks (DAN) and convolutional neural network (CNN). The major improvement of the LSTM & DAN model was to retain the original word vector information and to improve the accuracy of the text classification model without increasing hyperparameter and model structure complexity. The LSTM & CNN model mainly combines the advantages of convolutional neural network in exploring the deep information of text, which was an improvement over the original LSTM. It was proved by experiments that this improvement is meaningful. Compared with the shallow neural network, the accuracy has been greatly improved.
Scalable multi-transverse-mode quantum processor in silicon photonics

We present a multi-transverse-mode quantum processor that encodes quantum states of light using the first two TE modes. The processor uses multi-mode thermo-optic phase shifters for independent mode manipulation. Using the proposed processor, we can perform a 4 × 4 optical linear transformation with only a single Mach-Zehnder interferometer.
Low-complexity architecture for soft-output trellis-based detection in high-speed data center applications

An architecture enabled by DFE is proposed to achieve reduced-state trellis-based algorithms for data center applications. Performance evaluation using PAM-4 IM/DD experimental data shows that the penalty due to state pruning is below 0.5 dB, while a complexity reduction up to 57% is achieved.
Earthquake monitoring using fibre-optic distributed acoustic sensing

We review the use of distributed acoustic sensing (DAS) for monitoring earthquakes and other seismic waves using telecom optical cables, as well as novel signal processing approaches that exploit the spatiotemporal information contained in DAS seismic measurements.
Rate adaptive geometric constellation shaping using autoencoders and many-to-one mapping

A many-to-one mapping geometric constellation shaping scheme is proposed with a fixed modulation format, fixed FEC engine and rate adaptation with an arbitrarily small step. An autoencoder is used to optimize the labelings and constellation points' positions.
High spectral efficiency digital coherent continuous variable quantum key distribution system using polarization-multiplexed QPSK reference signal

We designed a digital coherent continuous variable quantum key distribution system achieving higher spectral efficiency by extracting timing information from a polarization-multiplexed QPSK reference signal and demonstrated the feasibility of distributing a secret key over a 100 km SMF link.
Optical identification for user authentication in quantum key distribution systems

We propose a novel technique for user authentication in fiber-based quantum key distribution systems. Practical implementation using coherent optical frequency-domain reflectometry is described and authentication security assessed.
Digital twin of a network and operating environment using augmented reality

We demonstrate the digital twin of a network, network elements, and operating environment using machine learning. We achieve network card failure localization and remote collaboration over 86 km of fiber using augmented reality
Breaking boundaries: harnessing unrelated image data for robust risky event classification with scarce state of polarization data

We present an innovative transfer learning method for classifying risky events with scarce state of polarization (SOP) data, utilizing a deep convolutional neural network pre-trained on unrelated images. Achieving a 96.3% accuracy on just 400 samples, this approach offers a robust solution for data-limited scenarios.
Towards large-scale entanglement-based quantum networks

We report on our latest progress towards large-scale quantum networks, including exploring protocols on a multi-node entanglement-based quantum network in the lab, extending the distance between quantum network nodes using deployed fibre and work on qubits systems compatible with large-scale photonic integration.
Rancang Bangun Sistem Informasi Pembelian dan Penjualan Sparepart Motor di Bengkel Qira Moto

The design and manufacture of an Information System for the Purchase and Sale of Motorcycle Parts is a system created to overcome the problems that occur, including minimizing the loss or damage of transaction evidence and making it easier to make transaction reports. The research method used is the SLDC (System Development Life Cycle) system and the waterfall model. System analysis and design tools used in this final project are Flowmap, DFD (Data Flow Diagram), ERD (Entity Relationship Diagram), Structure Chart, and Database Relationship Schema. The results achieved by making this information system are minimizing loss or damage to evidence of transactions, simplifying the process of controlling and searching for stock items and making it easier to make purchase and sale transaction reports.
Sistem Infomasi Pengawasan Sekolah Dasar dan Menengah di Dinas Pendidikan Pemuda dan Olahraga Menggunakan Metode Waterfall

The importance of a computerized system will save more time in managing ongoing business processes and produce accuracy in presenting data or reports to government institutions. The Cianjur Education, Youth, Sports Office requires a data management system for primary and secondary school supervision, namely an Information System that can be used by supervisors to take an inventory of data, including recording, storing, and reporting data from primary and secondary schools. With the information system, the Education, Youth, and Sports Office of Cianjur Regency can see information from schools quickly, precisely, and accurately. Data collection techniques in this study include observation, interviews and documentation. While the research method used is the waterfall method with stages, Communication, Planning, Modeling, Construction, Deployment, Testing. The results of this study are in the form of an analysis design for primary and secondary school supervision information systems using UML design tools, as well as the results of testing the system with the EUCS method.
Penerapan Naïve Bayes dalam Mengklasifikasi Calon Penerima Bantuan Pangan Non Tunai di Desa Nanjung Mekar

The application of Nave Bayes in Classifying Candidates for Non-Cash Food Assistance (BPNT) in Nanjung Mekar Village was made to solve problems in the process of distributing non-cash food assistance programs that have not run optimally and have not been targeted. The purpose of this research is to find out how to apply the Naïve Bayes Algorithm in Classifying Non-Cash Food Aid Recipients in Nanjung Mekar Village so as to obtain optimal results.The method used in this study is the nave Bayes classification method. The Naïve Bayes algorithm is proven to have good performance in a prediction, and produces high accuasy and AUC values. The stages of data analysis were carried out based on the CRISP-DM method while the algorithm testing was carried out on the RapidMiner 9.10.001 software as a comparison between manual calculations and software calculations. The results of these tests obtained an accuracy value of 80%, and an AUC value of 0.938 which was obtained from 250 data with the use of 240 training data and 10 testing data.
Rancang Sistem Presensi Online dengan Metode Gamifikasi dan Online Collaborative Learning

Online lectures are still being held while Covid-19 pandemic is going to end. Suitable system is needed to ensure the quality of online learning. We must combine the teleconference with the Collaborative Learning System to maintenance the interactions between students and their lecturer. The research is to build a system that can implement the Collaborative Learning System in online lectures. The methods used are gamification and Extreme Programming. The results of the research is the Online Presence application with chat system features, real-time polling system, real-time question-answer, and real-time leaderboard. The application can be accessed athttps://ikmiapp.web.id/presline.
Rancang Bangun Sistem Informasi Bimbingan Online (SIMABIN) dengan Fitur Whatsapp Gateway Notifications

The Academic Manager of STMIK IKMI Cirebon does not know the status of theses and final assignments submitted by students for the 2020/2021 academic year. They do not know who has or has not completed the mentoring procedure until a mentoring report is issued at the end of the mentoring period. The process is done offline and each process involves manual labor, paper-based guidance cards, duplicate, invalid, or empty data are examples of data restrictions. It can take a while to search for data, missing files, or missing files through physically stacked folders. An integrated web-based information system is the solution. Users can access it from any platform, including supervisors, BAAK, heads of study programs, and students. The research method using UML (Unified Modeling Language) and Extreme Programming (XP). The results showed that White Box Testing was 85% in the Online Guidance Information System (SIMABIN) for the main module so it was feasible for the deployment process. The application has gone through the deployment process and can record all student guidance activities starting from the process of submitting titles, guidance requirements, assignment of supervisors, process of guidance sessions, to the eligibility of hearings for each guidance week. The application can be accessed at https://ikmiapp.web.id/simabin.
Pendampingan Budaya Baca melalui Reading Day di TPQ Riyadhusolihin Desa Cibungur

This research is motivated by the low reading interest of the people in Sumedang Regency. The aim is to foster and socialize a reading culture in elementary school age children. The research subjects were elementary school age students at TPQ Riyadhusolihin, Cibungur Village, Rancakalong District, Sumedang Regency. The method used uses PAR (Participacy Action Research). The findings of the activity are: 1) Students are not used to having time to read; 2) Reading activities are carried out in class related to the subject being taught, 3) Reading is carried out because there is an assignment; 4) TPQ Riyadhusolihin does not yet have reading books outside of textbooks. Recommendations: 1) Make reading activities a culture without being linked to lesson assignments; 2) Reading can be done not only in class but also outside of class in a pleasant atmosphere; 3) TPQ Riyadhusolihin provides light story books related to faith and morality; 4) The government pays special attention through mobile libraries to remote areas that are difficult to reach by transportation.
Analisis Kesulitan Belajar IPA Peserta Didik pada Masa Pandemi Covid-19 di SMPN 2 Batang Anai

This study aims to determine: 1) Difficulties in learning science for students at SMPN 2 Batang Anai 2) Factors that cause difficulties in learning science for students at SMPN 2 Batang Anai during the covid-19 pandemic, 3) efforts made to overcome difficulties learning science for students at SMPN 2 Batang Anai during the covid-19 pandemic. The population in this study were all students of SMPN 2 Batang Anai for the academic year 2020/2021. The sample technique in this study was taken using a random sampling technique. The research instrument that the researcher uses is in the form of a questionnaire or a questionnaire given to the sample and documentation. The analytical technique used is statistical test analysis technique. Statistical tests are used to see the accuracy or accuracy of an equation function to estimate the data that we analyze. The results of this study indicate that students' learning difficulties in science at SMPN 2 Batang Anai during the COVID-19 pandemic were categorized as low with a percentage of 28.25% with a score of 21% -40%.
Aktivitas Belajar Peserta Didik dengan Pembelajaran Literasi, Orientasi, Colaborasi dan Refleksi (Loc-R) di SMP Negeri 7 Kota Ternate

The lack of use of learning models makes teaching and learning activities less effective and interesting. The lecture learning model commonly used by teachers in teaching and learning activities is often considered boring by students and student learning activities are low. The purpose of this study was to determine the activities of students with the application of the Literacy, Orientation, Collaboration and Reflection Learning Model (LOC-R) at SMP Negeri 7 Ternate City. The research method is descriptive research with a quantitative approach. The research sample was VIIc SMP Negeri 7 Ternate City. The number of samples selected was 35 students consisting of 23 girls and 12 boys. The sample in this study was class VIIc students, the sample was selected by purposive sampling by taking into account the characteristics of students. Collecting data using observation sheets and study documentation. Analysis of the data used is the percentage formula with categorization criteria. The results obtained by student activities at the appreciative stage were 79.9%, literacy stage was 82.8%, orientation stage was 88.4%, collaboration stage was 85.4% and reflection stage was 94.4%. Student learning activities using the LOC-R learning model are very effectively implemented in the classroom&#x0D;
Pengaruh Model Take and Give terhadap Hasil Belajar Siswa pada Subtema 1 Cara Tubuh Mengolah Udara Bersih di Kelas V SD Negeri 124385 Pematang Siantar tahun Ajaran 2022/2023

This study aims to determine the effect of using the Take and give learning model on learning outcomes in Subtheme 1 How the Body Processes Clean Air. This study uses a quantitative approach. to test the research instrument using Validity Test, Reliability, Difficulty level test, Distinguishing test. data collection with the observation stage, pre-test and administration and post-test. Data analysis techniques used the Mean, Variance, and Homogeneity test, as well as hypothesis testing with the t-test. The results showed: (1) The homogeneity test of the data with a significance value &gt; 0.05 then it was said to be homogeneous if the sig-based mean value &gt; 0.05. -the experimental class and the control post-test are the same or homogeneous. Based on these results can. (2) Output pair 2 obtained sig (2 tailed) value of 0.000, then 0.000 &gt; 0.05. Based on these results, it can be concluded that H0 is rejected and Ha is accepted. Based on the research concluded: there is a positive and significant relationship the effect of the take and give model on student learning outcomes. These results are evidenced by the results of hypothesis testing with the t test formula, where t count obtained sig (2 tailed) value of 0.00 &gt; 0.05 so that it can be concluded that Ho is rejected and Ha is accepted.
Meningkatkan Minat Belajar dan Kemampuan Kognitif Anak Usia Dini Melalui Penerapan Model Pembelajaran Area

The success of an early childhood education institution is determined by the learning model used, because through an appropriate learning model, appropriate efforts can be made to stimulate the development and growth of children. One of the learning models that we know is the area learning model.RA Raudhatul Ummah is an early childhood education unit located in Bekasi City. In the 2021-2022 school year, they will start using the area learning model, it is hoped that this model can increase children's interest in learning according to the desired choice. The study was conducted on 15 students in class B1 and 14 in class B2. using descriptive qualitative method and carried out for 1 months. Data collection was done through observation, interviews and viewing of children's portfolio documentation. To get valid data, the researcher uses data triangulation theory by involving research subjects, namely key informants, main informants and supporting informants. The results showed that there was a significant change and increase in the development of children's interest in mathematical cognitive abilities which reached the end of 86,2%.&#x0D;
Students Errors of Using Suffix ‘-S’, ‘-ES’ in Writing Simple Present Tense

This research aimed to determine and to describe the students’ error of using suffix ‘-s’, ‘-es’ writing in simple present tense. This research was designed as form of qualitative research, particularly in writing simple present tense. The subject of this research is class VII that consists of 30 students. The data were collected using observation, tests, and interviews as the research instrument. The results showed that the student's comprehension in using suffix ‘-s’, ‘-es’ categorized as “good”, with a total score of 47%. The recommendation of this research is the students can improve their skill about how to use the suffix ‘-s’, and ‘-es’ of simple present tense.
Penggunaan Metode Amtsilati untuk Meningkat Kemampuan Membaca Kitab Kuning Siswa

This study aims to determine: (a) how the Amtsilati method in the Takhossus class of SMPS Riyadhul Mubtadiin Cimanuk Pandeglang, (b) How is the application of the Amtsilati method to the ability to read the yellow book of students in the Takhossus class of SMPS Riyadlul Mubtadiin Cimanuk Pandeglang, (c) Is there any influence from the application of the method Amtsilati in the Nahwu Shorof class of students in the Takhossus class of SMPS Riyadlul Mubtadiin Cimanuk Pandeglang. The location of this research is at SMPS Riyadlul Mubtadiin Cimanuk Pandeglang. The method used in this research is a qualitative method in the form of classroom action research (CAR). The method of data collection was done by interview and observation. The results of this study indicate that the amtsilati method is a new breakthrough to make it easier for students to be able to read the yellow book in a relatively short period of time (3 to 6 months), and this method is packaged so attractively and practically so that it is easy to learn, even for children who are as young as possible. The advantage of the amtsilati method is that it is easy to understand by all people, even children, on the condition that people who learn amtsilati can read Arabic script and can read alphabetic writing. Because the core book of amtsilati, namely the book of qoidati, uses Indonesian and the examples use Arabic because most of the examples are quoted from the Qur'an.
Improving Students Reading Comprehension Through Mind Mapping Technique in Narrative Text

Reading is a process that is carried out and used by the reader to get the message from the writer. Reading improves the ability to understand words and improve thinking skills, increase creativity and also gets acquainted with new ideas. Based on the observation in SMK N 1 Gunungsitoli Barat especially class XI IPA 2, the researcher found that the students were difficult to get some information of the text and the students unable to understand the meaning of the text. This research was conducted to improve students reading comprehension through Mind Mapping technique in narrative text at the eleventh grade of SMK N 1 Gunungsitoli Barat in 2021/2022. Through Classroom Action Research (CAR, the research was conducted in two cycles. The result of the research revealed the Mind Mapping technique improves students’ ability in Reading Comprehension. Hence, the English teacher of SMK N 1 Gunungsitoli Barat were suggested to use Mind Mapping technique to improve the students ability in reading comprehension because the strategy guides the students’ ideas and also helped in finding out the ideas in reading.&#x0D;