Reviewerly/exHarmony huggingface dataset:
Lightweight and Anonymity-preserving Secure Group Communication Mechanism for Cooperative Driving

Platooning is gaining much attention due to its potential for improving road safety, and increasing vehicular throughput. Given the required fine-grained coordination among the involved vehicles, resilience to cyberattacks is very crucial. Moreover, the information sharing among the vehicles should not be at the expense of the user's privacy. Additionally, the platoon operation is based on broadcast and requires a lightweight method to support secure group communication. This paper presents a novel protocol that utilizes lightweight hardware fingerprinting primitives and the Chinese Remainder Theorem (CRT) to automate the key generation and management process. Our protocol eliminates the need for pre-loaded keys and enables vehicles to infer the group key on-the-fly. CRT is utilized to help the transportation authority generate a group key for each platoon and broadcast an obscured version of such a key. Using our scheme, only the vehicles involved in platoon can recover the key using their respective hardware primitives. The validation results confirm the resilience of our protocol to attempts for unveiling the keys by single and collusive actors, while also providing reduced computational complexity compared to competing schemes.
A Comparative Study of Steganography Techniques: A Review

Abstract: Steganography and Digital Watermarking are two methods of information concealment in which the context can be interpreted as keeping the information hidden or making it subtle. Steganography is a means of disguising an information so that only the person(s) who placed it are aware of its existence. Onthe other hand digitalwatermarking is the technique of inserting a symbol of some form into a media file to differentiate it from others. Security authenticationis intended to be permanent, and it is applied by a process that involves changes to the media file. Other parties may be able to see or hide digital watermarking in plain sight. In this paper we are going to review the steganography techniques. This paper will do a whole comparativestudy of different steganography techniques also.
Parçacık Sürü Optimizasyonu Yoluyla Geliştirilen Doğrusal Bir Sınıflandırıcının Analizi

Meta-heuristics are high-level approaches developed to discover a heuristic that provides a reasonable solution to many varieties of optimization problems. The classification problems contain a sort of optimization problem. Simply, the objective herein is to reduce the number of misclassified instances. In this paper, the question of whether meta-heuristic methods can be used to construct linear models or not is answered. To this end, Particle Swarm Optimization (PSO) has been engaged to address linear classification problems. The Particle Swarm Classifier (PSC) with a certain objective function has been compared with Support Vector Machine (SVM), Perceptron Learning Rule (PLR), and Logistic Regression (LR) applied to fifteen data sets. The experimental results point out that PSC can compete with the other classifiers, and it turns out to be superior to other classifiers for some binary classification problems. Furthermore, the average classification accuracies of PSC, SVM, LR, and PLR are 80.8%, 80.6%, 80.9%, and 57.7%, respectively. In order to enhance the classification performance of PSC, more advanced objective functions can be developed. Further, the classification accuracy can be boosted more by constructing tighter constraints via another meta-heuristic.
Traffic sign detection algorithm based on improved YOLOv7

Aiming at the problems of low detection accuracy and slow detection speed of existing deep learning-based traffic sign detection methods, this paper proposes an improved YOLOv7 traffic sign detection method CN-YOLOv7. First, based on the idea of ConvNeXt network, this paper introduces ConvNeXt_block with integrated attention in the feature extraction network to reduce the loss of small target traffic sign feature information during downsampling, improve the accuracy of traffic sign detection and reduce the number of network floating point operations; in the detection head part, in order to improve the detection ability for tiny targets, this paper adds a small target detection head. On this basis, in order to speed up the network calculation, this paper adjusts the maximum pooling layer arrangement of the SPPCSPC module based on the detection layer structure to obtain the SPPFCSPC module, which replaces the SPPCSPC module and reduces the number of network parameters under the same feeling field. In addition, this paper uses K-means++ clustering algorithm to obtain predefined anchor frames to make them more suitable for the dataset, which improves the robustness and detection accuracy of the algorithm. The comparison experiments on the homemade dataset and CCTSDB dataset show that compared with the YOLOv7 algorithm, the CN-YOLOv7 algorithm improves the mAP by 4.1% and the inference speed reaches 61.7 FPS. Compared with SSD, Faster R-CNN, YOLOv5, YOLOv7 and other methods, the CN-YOLOv7 ensures the detection speed At the same time, it can effectively improve the detection accuracy, and the detection effect is better than the original network model and the traditional classical target detection network model.
Supplemental Material: Provenance of Devonian–Carboniferous sedimentary rocks of the Tarija Basin, South Bolivia: Implications for the geodynamic evolution of the southwestern margin of Gondwana

&lt;p&gt;Contains detailed information about rock sampling and analytical methods used for the development of this work. Also includes tables and supplementary images.&lt;/p&gt;
Adversarial invariant-specific representations fusion network for multimodal sentiment analysis

Multimodal Sentiment Analysis (MSA) has achieved substantial progress as an open and practical research field. Several methods in MSA focus on exploring the methods for multimodal data fusion to improve the model performance. However, the heterogeneity gaps pose a significant challenge against the fusion interactions of the multimodal data. This work uses a new Multimodal Sentiment Analysis (MSA) model, the adversarial invariant-specific representations fusion (AISRF) network. AISRF is proposed to achieve modality-invariant representations by narrowing the distribution gaps among different modalities. At the same time, the integrity of the modality-specific representation is maintained. First, the heterogeneity gaps among the modalities are reduced by invoking an adversarial encoder-regressor, and thus the modality-invariant representations are obtained. Second, the decoders are employed to reconstruct the modality-invariant representations and obtain the modality-specific representations. Finally, the cross-modal attention method has been used to perform the cross-modal interactions on the invariant-specific representations from different modalities to perform efficient multimodal fusion. Experiments for comparison with other baseline models have been performed on the prevailing benchmark datasets, viz., CMU-MOSI and CMU-MOSEI, and the results demonstrate that the AISRF model is superior to the baseline models in the multiple evaluation indices.
Sumur Gali Gambaran Risiko Pencemaran Dan Kandungan Coliform Air Sumur Gali Di Kenagarian Gurun Panjang Kapuh Kecamatan Koto XI Tarusan

Dug wells are the main source of clean water supplies for people living in rural and urban areas of Indonesia. The clean water used by the people of the Panjang Kapuh Desert generally comes from dug wells and drilled wells. In Village Gurun Panjang Kapuh, there are many dug wells that do not meet the construction requirements of dug wells, so they can pose a risk to clean water consumed by the community. The purpose of this study was to obtain an overview of the risk of pollution and coliform content of dug well water in the Village Gurun Panjang Kapuh, Koto XI Tarusan District, Pesisir Selatan Regency in 2022. This research is descriptive with a population of all houses that have clean water facilities dug wells as many as 730 dug wells. Data obtained from the results of the sanitary inspection of dug wells using the sanitation inspection form, in 85 dug wells 7 samples of dug well water were taken for water biology examination (Coliform) in the laboratory. Generally, there is a high risk of contamination of dug wells (69.4%). The total biological content (Coliform) of dug well water from 7 samples, 6 of which did not meet the requirements. It is recommended to the public to make or repair the well construction so that it has a good construction to prevent contamination of dug wells. Health workers should provide counseling and supervise dug well sanitation inspections and periodically check the biological quality of dug well water.
The Influence of The Availability of Learning Infrastructure on Learning Achievement Cognitive Students In PAISubjectsAt SMP Islamic School Palu

The influence of infrastructure facilities on PAI learning achievement at Islamic Middle School Palu. The background of this thesis is the observation that the infrastructure is not sufficient or inadequate, so that it will affect the learning achievements of students. The formulation of the problem in this thesis is how the effect of the availability of learning infrastructure on student achievement at Islamic Middle School Palu and Is there a significant influence between infrastructure (X) and learning achievement (Y) at SMP Islamic School Palu.The purpose of the research in this thesis is to determine the effect of the availability of learning facilities and infrastructure on student achievement at SMP Islamic School Palu and to determine the significant influence between infrastructure (X) and learning achievement (Y) at SMP Islamic School hammer. In the literature review, this thesis discusses the meaning of infrastructure, types of infrastructure, functions of infrastructure, and understanding of learning achievement, types of learning achievement, functions of infrastructure, how to measure learning achievement.This research belongs to the type of quantitative research. The data collection method used the population and sample at the research location at SMP Islamic School Palu with a total of 147 students, while the sample was taken was 73 students using Slovin's theory with an error tolerance of 5%. The results of this research and calculation prove that the results of the F test show that the Fcount value is (7.994) &gt;Ftable is (3.99) with a significant level (ɑ) = 0.05. Therefore, Ho is rejected and Ha is accepted, which means that infrastructure has a significant influence on student achievement in PAI subjects at SMP Islamic School Palu . The value (R) is 0.317. While the value (R Square) is 0.101 which means the contribution is 10.1% and the remaining 89.9% is influenced by other variables not examined by the author.
The Use of Social Media in Improving EFL Learner Writing Skills

Early on social media was only used as a method of communication; however, as diverse learning requirements and media emerged, EFL students began to use social media as a learning medium, specifically for learning English. This trend is expected to continue to an indefinite time limit. In addition to developing their English language abilities, EFL leaner can improve their listening, speaking, reading, and writing skills. This research seeks to determine how social media can assist EFL students in improving their writing skills. This study identified 118 articles using a qualitative systematic review; however, only 11 articles matched the research topic and were included in the analysis. Those articles find out from the world’s databases. Looking to the outcomes of this research, students of English as a foreign language (EFL) can improve their writing abilities and keep their motivation levels high while studying by making use of the features that are made available on social media platforms. Students of English as a foreign language (EFL) can evaluate their writing skills by contributing to every posting page on each platform. More investigations can be conducted to investigate the benefits of writing on Instagram, such as creative writing in the classroom and research on a global scale.
Students’ Perceptions Towards the Application of Gamification in English Class

The integration of technology in education is rapidly increasing. Thus, academic practitioners are expected to utilize it optimally in teaching and learning process. One of the ways is to apply gamification in the classroom. This study aims to investigate the students' perception of the application of gamification in English classes. This research was conducted using a qualitative design and the data presented were descriptive through data interpretation. To answer the research questions, the researcher used semi-structured interviews in a face-to-face setting with 31 seventh-graders in one of the public junior high schools in Malang. The results of the study were to investigate students' perceptions of the application of gamification in learning English and students' insights about digital facilities in the school. The questions from interviews conducted covered several aspects, including (i) student interest in accessing digital games; (ii) student learning motivation; (iii) digital resource facilities and the ability of teachers to operate digital resources. The study found that more than half of the students in the class frequently accessed digital games and even had a favorite game. Students also gave a satisfactory perception regarding the application of gamification in the classroom because it can increase learning motivation. Students also gave their perceptions of the digital resource facilities at school and the teachers' ability to operate them.
Pengembangan Media Pembelajaran EduGame Augmented Reality Bermuatan Pendidikan Karakter Pada Siswa Sekolah Dasar

The use of technology in the learning process is currently an attractive alternative choice to use. The dominance of the use of technology in the learning process is one of the things that must be achieved for many schools to provide fun learning services for students. The dominance of the use of technology must also be balanced with the output in the affective domain of students. Learning media to deliver messages in the learning process can include the value of character education such as through educational games. The use of Augmented Reality (AR) educational games containing the importance of character education can be used as an alternative choice. This research aims to create an application in the form of EduGame AR which is expected to foster the cultivation of character values in students as an alternative learning media. This study uses research and development methods using AR applications, then tested on elementary school student learning in the classroom. The results showed that the EduGame AR developed was very suitable for use in the student learning process with a practicality level of 88.76%.
Content Validity of Flipped Learning-Based Statistical Learning Evaluation Instruments at Tourism Colleges

The problem that occurs is that there are still many researchers who have not paid attention to the content validity of the evaluation instruments used in evaluation activities. Seeing the important role of the evaluation instrument as a measuring tool, it is necessary to determine the content validity of the evaluation instrument. This study aims to show in detail the process of calculating the content validity of an evaluation instrument that is specifically used in evaluating the quality of statistical learning based on flipped learning at tourism tertiary institutions after the Covid-19 pandemic. This type of research is the development of instruments using a quantitative approach. The subjects of this study were several experts who were involved in testing the content validity of the evaluation instrument. The number of experts involved was 4 experts, including: 1 expert in mathematics education, 1 expert in tourism, 1 expert in informatics engineering education, and 1 expert in education evaluation. The tool used by experts to assess the evaluation instrument items is a questionnaire consisting of 26 questions. The formula used to analyze the results of the content validity test of the evaluation instrument is Aiken. The data analysis technique for the results of the content validity test was carried out by comparing the results of the average value of V from the calculation of the Aiken formula with the Gregory validity categorization. The results showed that 18 valid instruments and 8 invalid instruments. In addition, from the average V value of 0.668, it can be stated that the evaluation instrument specifically used in evaluating the quality of statistical learning based on flipped learning at tourism tertiary institutions after the Covid-19 pandemic is classified as high validity.
SLIS Director's Report

Welcome to the Spring/Summer issue of SLIS Connecting. It has been a busy time here in SLIS. This is the overview of what has been happing here at the School of Library and Information Science at Southern Miss. This issue features six research projects along with our regular columns.
Social Media Engagement Across Public Libraries in Monroe County: A Webometric Study

Social media has continued to develop and change rapidly since its inception. In order to best meet the information needs of users and gather as much visibility as possible, new platforms have been created and older platforms have been updated to improve usage. Because of these changes, engagement with newer, yet highly popular social media platforms such as TikTok has not been studied as widely as more traditional platforms such as Facebook. Additionally, post formats, character limits, and post content can vary greatly by platform. Comparing multiple social media platforms in this study allowed for a wider view of how users engage with public libraries on different social media platforms. The purpose of this webometric analysis is to evaluate social engagement across TikTok, Instagram, and Facebook social media accounts at public libraries in Monroe County in Western New York by categorizing post content and measuring engagement through reactions or likes, shares, and comments.
Supplemental Material: Provenance of Devonian–Carboniferous sedimentary rocks of the Tarija Basin, southern Bolivia: Implications for the geodynamic evolution of the southwestern margin of Gondwana

&lt;p&gt;Contains detailed information about rock sampling and analytical methods used for the development of this work. Also includes tables and supplementary images.&lt;/p&gt;
A vehicle classification method based on deep learning and multi-attention mechanism

Deep learning has many important applications in autonomous vehicle classification. However, due to the similarity between different types of vehicles, the deep learning model is faced with a certain degree of challenge in classifying vehicles. If the deep learning method can be improved to improve the accuracy of vehicle classification method, it will be very helpful for the practical application of autonomous driving. In this paper, ResNet34 deep learning model is selected as the backbone network, and FcaNet and several spatial attention mechanisms are added to improve the model. We tested our proposed approach on a data set containing 10 different types of vehicles. The test results on the vehicle classification data set show that the classification accuracy of the improved scheme reaches 79.0%, which is higher than the 75.42% of the original ResNet34 model. The experimental results show that the method of adding multiple attention mechanisms to ResNet deep learning network is helpful to improve the classification accuracy of different vehicles.
Secure Deduplication with User-Defined Access Control in Cloud Storage

Abstract: Cloud storage is one of the most important services of cloud computing, offering significant benefits to users by allowing them to outsource their data for storage and sharing with authorized parties. Secure deduplication has been extensively researched in cloud storage, aiming to eliminate redundancy in encrypted data and reduce storage space. Our proposed solution focuses on uploading files to the cloud storage system. When a file is uploaded, it is checked to see if an identical file already exists. If a duplicate is found, the system displays an entry indicating that the file already exists. This secure and efficient data deduplication scheme ensures that users can store their data securely in the cloud, with access limited to authorized parties. By eliminating redundancy, more space is available for uploading different files. To ensure data security, we utilize the MD5 algorithm for hashing purposes and AES for encryption. Our system offers a practical solution for organizations seeking to securely store their data in the cloud, while also preserving user privacy and data ownership
RECOGNITION OF REALTIME BASED PRIMITIVE GEOMETRY OBJECTS USING PERCEPTRON NETWORK

The purpose of this study is to analyze the perceptron model on pattern recognition of primitive geometric objects in real time based on video images. The samples used in this study were cubes, prisms, tubes and balls. The system was built using the Delphi 7 programming language with pre-processing stages system training includes the process of calculating matrix values from the original image, then proceed with the grayscale and edge detection processes using convolution with a kernel, namely the sobel operator and then the matrix results from the edge detection process are transformed using a perceptron network to obtain energy from the image of the object, then the resulting energy The transformation is stored in the database as a system test reference pattern recognition energy. Measurement of system performance evaluation in this study uses two parameters, namely detection rate and false positive rate. The recognition rate of primitive geometric objects using the perceptron network model in this study reaches 60.00% to 80.00%. The detection rate percentage shows that this model can be used as a supporting approach for the recognition of geometric objects in video.
DESIGNING A WEB-BASED ELEMENTARY SCHOOL ATTENDANCE SYSTEM USING THE LARAVEL FRAMEWORK

The era of globalization has produced transformational innovations and has the potential to drive innovation, productivity, and digital transformation. Digital transformation is an important issue and is a habit that must be applied in all industrial sectors. The implementation of digital transformation will provide competencies and skills that can adapt to various changes, especially those related to digital transformation. One sector that must immediately carry out digital transformation is the education sector. For this reason, the education sector absolutely requires human resource development as a way to improve abilities and skills. Based on literature studies, it has been obtained that the steps of the Waterfall method. The results obtained from the research are software development using the Waterfall method and the Laravel framework according to predetermined stages. At this stage, several components that are needed in making the system and restrictions in making the system will be explained, including the following: Software Requirements, Activity Diagram, and System Results. This attendance website is useful for teachers to be able to take attendance of their students online, this attendance website can recap attendance data automatically in PDF form which of course can facilitate the work of teachers, and with this attendance website, students and parents can monitor attendance data managed by teachers.