Reviewerly/exHarmony huggingface dataset:
X-Align++: cross-modal cross-view alignment for Bird’s-eye-view segmentation

Bird’s-eye-view (BEV) grid is a typical representation of the perception of road components, e.g., drivable area, in autonomous driving. Most existing approaches rely on cameras only to perform segmentation in BEV space, which is fundamentally constrained by the absence of reliable depth information. The latest works leverage both camera and LiDAR modalities but suboptimally fuse their features using simple, concatenation-based mechanisms. In this paper, we address these problems by enhancing the alignment of the unimodal features in order to aid feature fusion, as well as enhancing the alignment between the cameras’ perspective view (PV) and BEV representations. We propose X-Align, a novel end-to-end cross-modal and cross-view learning framework for BEV segmentation consisting of the following components: (i) a novel Cross-Modal Feature Alignment (X-FA) loss, (ii) an attention-based Cross-Modal Feature Fusion (X-FF) module to align multi-modal BEV features implicitly, and (iii) an auxiliary PV segmentation branch with Cross-View Segmentation Alignment (X-SA) losses to improve the PV-to-BEV transformation. We evaluate our proposed method across two commonly used benchmark datasets, i.e., nuScenes and KITTI-360. Notably, X-Align significantly outperforms the state-of-the-art by 3 absolute mIoU points on nuScenes. We also provide extensive ablation studies to demonstrate the effectiveness of the individual components.
Improving Students' Vocabulary Mastery by Using Upin and Ipin Cartoon Movie at Seventh Grade Students of SMP Angkasa Mandai

Abstract Cartoon movie are designed not only to entertain children, but cartoons can be also used to teach and educate the children. The objectives of the study that are to find out whether “Upin and Ipin” cartoon movie can improve the students’ vocabulary and to know whether there is an increase between pre test and post test about the types of vocabulary of "Upin and Ipin" cartoon movie. The method of the research used pre-experimental method with one group pre-test and post-test design. The pre-test administered in order to know students’ vocabulary achievement after. Conducted treatment by using upin and ipin cartoon movie episode 16 Spiritual Night. The subject of the study was seventh grade students of SMP Angkasa Mandai. There were 30 students. Based on finding and discussion, it can be seen that this research shows us that the using Upin and Ipin cartoon movie episode 16 Spritual Night can help students to improve understanding on vocabulary mastery about kinds of vocabulary. After two test was done, there is significant improvement of vocabulary by using Upin and Ipin cartoon movie episode 16 Spritual Night. Pre test mean score (49.67 %) and the post test mean score (88%). The role of media is very important to increasing achievement vocabulary mastery. Therefore, to help the students to remember vocabulary and practice in learning language. It is one of solution to be used as appropriate method in teaching learning process
Design and validation of a navigation system of multimodal medical images for neurosurgery based on mixed reality

This paper aims to develop a navigation system based on mixed reality, which can display multimodal medical images in an immersive environment and help surgeons locate the target area and surrounding important tissues precisely. To be displayed properly in mixed reality, medical images are processed in this system. High-quality cerebral vessels and nerve fibers with proper colors are reconstructed and exported to mixed reality environment. Multimodal images and models are registered and fused, extracting their key information. The multiple processed images are fused with the real patient in the same coordinate system to guide the surgery. The multimodal image system is designed and validated properly. In phantom experiments, the average error of preoperative registration is 1.003 mm and the standard deviation is 0.096 mm. The average proportion of well-registered areas is 94.9%. In patient experiments, the surgeons who participated in the experiments generally indicated that the system had excellent performance and great application prospect for neurosurgery. This article proposes a navigation system of multimodal images for neurosurgery based on mixed reality. Compared with other navigation methods, this system can help surgeons locate the target area and surrounding important tissues more precisely and rapidly.
A DEEP LEARNING APPROACH TO HANDWRITTEN DIGIT RECOGNITION USING CONVOLUTION NEURAL NETWORK

The goal of the project is to create a model that will be able to identify and recognize handwritten digits exactly from the image.It implements Convolutional Neural Network (CNN) to recognize and identify handwritten digits from images in the MNIST dataset.The CNN was able to achieve an accuracy of 99%, and the saved model was integrated with an interface for prediction.The paper also reviews other studies that have used deep learning algorithms for digit recognition, including Multilayer Perceptron (MLP) neural networks.The Paper highlight the importance of image recognition in computer science and artificial intelligence, particularly in the areas of sound and visual categorization, object detection, image segmentation, and object identification.The paper concludes by suggesting that future research could explore different classifiers and algorithms to improve the performance of the digit recognition system
MEDIA STREAMING AND USER INTERACTIVITY PLATFORM

In today's world, people consume content such as video and audio in their daily lives.An intelligent platform is required to provide streaming content and user engagement.The media streaming and user interaction platform helps users upload videos and content to the platform and allows other users to view and interact with Interest engagement, such as education and entertainment, which will provide features that enhance the user experience.on the platform.The platform features live streaming, multi-channel live video and audio streaming, and live screen sharing.Streaming information when the system transmission capacity can be changed powerfully.This strategy could give proficient self-versatile interactive media spilling administration to Save organized data transfer capacity and cost.
Penerapan Model Kooperatif Tipe Jigsaw terhadap Hasil Belajar Siswa pada Materi Perpindahan Kalor di Kelas V SD Karya Budi Banda Aceh

The study is titled Application of Collaborative Puzzle Learning Model to Learning Outcomes of Heat Transfer Materials for Students of Class V SD Karya Budi Banda Aceh. The problem in this study is that teachers often use lectures in teaching, which makes students in a passive state in learning activities. The problem formulation was how to apply the jigsaw cooperative learning model to the learning outcomes of fifth grade students in SD Karya Budi Banda Aceh in heat transfer materials. The purpose of this study was to describe the learning outcomes of fifth grade students in SD Karya Budi Banda Aceh about heat transfer materials using the jigsaw puzzle model. The subjects of this study are the students of Class V, with a total of 28 students. This research method is qualitative while the research type is descriptive. Data collection techniques are performed through testing. Data analysis uses percentage formulas. After analyzing the data, the result obtained is 89.00%. According to the results of the study, it was concluded that the application of the jigsaw cooperative model to heat transfer material could achieve complete student learning outcomes.Keywords: Jigsaw Type Cooperative Model, Learning Outcomes, Heat Transfer Materials, Science
THE REAL TIME SIGN LANGUAGE DETECTION USING ML

A machine learning model is trained to recognise sign language movements using a large dataset of labelled sign language examples.To capture the varied qualities of different sign motions, several feature extraction approaches such as form descriptors, hand motion vectors, and skeletal tracking are used.These attributes are then given into a real-time classification system, such as a SVM or a CNN, which properly classifies the observed motions.The efficiency of real-time sign language detecting systems is crucial.To ensure real-time speed, optimisation techniques such as parallelization and hardware acceleration (e.g., GPU use) are used.Furthermore, the system may be configured to run on mobile devices or embedded systems, increasing accessibility and usability.
Appraisal of Paleotectonic Setup of Mizoram Based on Geochemical &amp; Petrological Signature

The complexities of mother earth become deeper when it comes to the mysteries of the past.The nature on one hand gives us challenges of revealing the past and on the other hand provides us with the wisdom of cracking the puzzle through different tools.
Suppressing amplitude damping in trapped ions: Discrete weak measurements for a nonunitary probabilistic noise filter

The idea of exploiting maximally entangled states as a resource lies at the core of several modalities of quantum information processing, including secure quantum communication, quantum computation, and quantum sensing. However, due to imperfections during or after the entangling gates used to prepare such states, the amount of entanglement decreases and their quality as a resource gets degraded. We introduce a low-overhead protocol to reverse this degradation by partially filtering out a specific type of noise relevant to many quantum technologies. We present two trapped-ion schemes for the implementation of a nonunitary probabilistic filter against amplitude damping noise, which can protect any maximally entangled pair from spontaneous photon scattering during or after the two-qubit trapped-ion entangling gates. This filter can be understood as a protocol for single-copy quasidistillation, as it uses only local operations to realize a reversal operation that can be understood in terms of weak measurements.
Mobile Vaccination Clinic Routing Problem

Accessing Covid-19 vaccines may be challenging for people with disabilities, the elderly, which are particularly vulnerable to the adverse effects of Covid-19 disease, and the population in rural areas.The utilization of mobile vaccination clinics is studied in this paper to overcome this challenge.A mathematical model is proposed to route mobile vaccination clinics over a network consisting of a depot, candidate stops, and demand points.Different service levels are considered to ensure that the mobile vaccination clinic is located within a given distance of demand points.The population at demand points is divided into priority groups with varying criticalities and requirements for service levels.An extension to the location routing problem is proposed and an integer linear model is presented that optimizes the routes and stopping points of the mobile vaccination clinics.The objective is to maximize the coverage of prioritized groups while providing high service levels.A case study based on Van province in Turkey is conducted to analyze the proposed solution method.The preliminary results indicate a tradeoff between the prioritization of groups and the network-level effectiveness of the solution.
A Systematic Review of IoT Platforms in Educational Processes

The use of IoT for teaching and learning processes begins to increase.To support the use of the IoT device itself, a platform can be used.The IoT platform gives IoT components the ability to self-regulate so they can help beginners or students deploy IoT devices.Nevertheless, the current state of knowledge in using IoT platforms within the educational field is limited.Therefore, we want to elaborate on how IoT platforms are used to support IoT educational learning tools and enhance educational processes.The research method used is a systematic review and PRISMA is being used as a research protocol.After fifteen articles are screened based on their qualification, we found there are seven platforms frequently mentioned, research results show these learning tools increase students' interest in the subject as well as provide new knowledge of IoT in educational processes for both engineering and non-engineering fields.
A Case Study on The Improvement of Organizational Operational Efficiency Through Quality Management Systems Iso 9001

ISO 9001 is a series of quality management system standards which provide guidance and tools for companies and organization to ensure that their products/services consistently meet customer requirements.Adamson University applied for and successfully achieved the prestigious ISO 9001:2008 Management Systems certification by TÜV Rheinland.The ISO 9001:2008 certification means that the quality of the university's processes and standards are at par with international management systems and that the University has instituted quality assurance methods in both the academic and support services with procedures for its maintenance.The goal of this research is to identify the success of the ISO 9001 program and its contribution to the success of operational efficiency in Adamson University.The data were gathered from the survey questionnaire answered by selected employees of Adamson University.The findings of this study were based on the answers of one hundred twenty-five (125) respondents.Finally, the analysis of data was accomplished by descriptive statistics to find the results and conclusion.Resource Management is the only significant factor among the components of Quality Management System that has significant effect on the scores on the Contributions of ISO.Also, employees' assessments for all the components of Quality Management System are positively correlated with both Contribution of ISO and the Ratings of Success in improving operational efficiency.These significant positive correlations have shown that the ISO program of Adamson University is associated to the success in improving operational efficiency of the employees positively.Lastly, the main contribution of ISO 9001 Quality Management System focused on customer focus, improvement, process approach and engagement of people within the organization.Employees elaborated that ISO contributed to the operational efficiency in Adamson University by making their work more efficient, improving work flow, improving customer focus and organized process and documentations.Moreover, the result in ANOVA implied that there is no significant difference on the contribution of ISO 9001 on different offices in Adamson University.The researchers therefore recommended having
Multi-Criteria Supplier Selection Rapid Diagnostic Test Antigen (RDT-Ag) Test Kit Using AHP TOPSIS Methods (A Case Study in “X” Laboratory)

Covid-19 pandemic has caused an increasing burden on the health system and an economic crisis.The Indonesian government has made a policy through the Decree of the Minister of Health of the Republic of Indonesia Number HK.01.07/MENKES/446/2021 regarding the use of rapid diagnostic test antigen (RDT-Ag) in the examination of Covid-19.This regulation stipulates that the use of RDT-Ag is one of the Covid-19 screening methods for contacts tracking, diagnostic enforcement and examinations under certain conditions.The supplier selection of this multicriteria RDT-Ag test kit was carried out at the "x" laboratory.Laboratory "x" only uses the tender method, it only reviews the criteria, quality, and legality in the evaluation process for selecting RDT-Ag test kit suppliers.therefore, improvements are needed in evaluating supplier selection with multiple criteria (adding criteria/subcriteria), the more criteria and sub-criteria used in the supplier selection process will provide a more objective supplier ranking.The main challenge in supplier selection is to formulate appropriate criteria.This research integrates the approach using the Analytical hierarchy process (AHP) and Technique for other references by similarity to ideal solution (TOPSIS).The AHP method is used to weight each criterion and sub-criteria, while the TOPSIS method is used to determine the suppliers rangking.This study uses 7 criteria and 16 sub-criteria; the criteria used are price, quality, delivery, supplier profile, flexibility, service and warranty.The weight of the three highest criteria are the supplier profile (0.434), quality (0.181) and price (0.142), with three highest supplier rangking are supplier 2 (0.664), supplier 8 (0.648) and supplier 1 (0.620).
Project Management vs Product Management: A View on The Journey From Project to Product in Software Development

Software Product Management (SPM) has higher interest both in our country and globally.Many companies operating in the IT or software sector are renewing their project-based approach to product-based visions, with the influence of success stories of "Big Tech" companies especially.The situation is not only affected by the strategy change but most IT companies also change their working styles such as remote working, digitalization and development methodologies such as agile or lean approaches.Moreover, the definition of the product management itself is still trying to be structured with many on-going specifications around the project management (PM) versus product management discussions.Product management neither have a special branch in universities nor a specific certification in official industrial organizations.And in the field, in most companies, product management does not have a well-defined framework and is often treated as an ad hoc discipline.The aim of this study is to provide a comprehensive view on SPM and PM professions.First the roles, definitions, responsibilities, and differences are elaborated based on academic search.Then, with an active software project and product management field experience, the major functionalities are mapped to areas of expertise and the overlap between SPM and PM are shown in this functional map.Thus, it is expected to understand the actual needs of productization in software companies and specify the challenges in combination with academic approach and field experience.
Comparison of Trend Line Analysis Methods and Backpropagation Neural Network with Lowest Error Rate in Solopos Newspaper Industry

In today's digital era, many industries are affected by digitization.One of them is the newspaper industry which causes demand uncertainty and is difficult to predict.This causes a very high rate of return or newspaper returns which will result in losses for the company.Therefore, it is necessary to use a newspaper demand forecasting method that has a low error rate.The method used is trend line analysis method and backpropagation neural network.The data used is actual demand data, sales results, sales prices and stock from January 2020 to January 2021.The calculation process uses Microsoft Excel and Matlab.In addition, the selection of the best method is obtained by comparing the smallest MSE value.Based on the MSE comparison, it was found that the forecasting method with the smallest error rate was the backpropagation artificial neural network method with an MSE value of 0.0104 Therefore, the best forecasting method for forecasting the demand for the number of newspapers PT.Solopos script is a backpropagation method for artificial neural networks
Security analysis of a chaotic encryption algorithm related to the sum of plaintext pixel value

The security analysis of the existing chaotic image encryption algorithm is mainly for the algorithm whose secret keys are independent of plaintext, while a few cryptanalyses on plaintext-related scheme are released. This paper analyzes the security of a chaotic encryption algorithm related to the sum of plaintext pixel value (SPPV). It is found that for all plaintexts with the same SPPV, the chaotic sequences used for encryption are identical. Accordingly, there exist a series of equivalent keys corresponding to the different SPPVs, a codebook attack method to crack this type of encryption algorithm is proposed. Since the SPPV is predictable, limited in number and reconfigurable, the chosen-plaintext attack is adopted to analyze the plaintext with all possible SPPVs. And the corresponding equivalent keys are calculated, respectively. These equivalent keys corresponding to SPPV finally form a complete codebook for cracking the original encryption scheme. The research result shows that any encryption algorithm related to SPPV can be cracked by the codebook attack method proposed in this paper. Therefore, the method proposed in this paper owns certain universal applicability. Theoretical analysis and experimental results prove the feasibility of this method.
Mamamayan: An Android mobile Community-based Emergency Reporting and Notification System

During national, regional, and local catastrophes, reliable public alert and warning systems are critical for saving lives and protecting property.Emergency notifications have become a top issue in both national and local governments these days.This research focuses on designing, developing, and evaluating Mamamayan: An Android mobile Community-based Emergency Reporting and Notification System for Makati City in the Philippines.Mamamayan can be used to report emergencies ranging from fires to typhoon-related incidents, vehicular accidents with casualties, emergency health-related concerns, community-related incidents and concerns, and other occurrences that require an immediate and concrete response from the responsible agencies.The PSSUQ and the ISO 9126 were used to evaluate the system yielding a high acceptance as perceived satisfaction from the evaluators.The PSSUQ usability test yielded a 1.50 overall mean, indicating that the system was highly acceptable in terms of system usefulness, information quality, interface quality, and overall satisfaction.The system effectively captured respondents' perceptions of satisfaction, as evidenced by an overall mean of 4.71 (highly acceptable) on the ISO/IEC 9126 software quality test.The evaluation considered system performance, reliability and availability, efficiency, maintainability, and portability.
A Bibliometric of Sentiment Analysis in Tourism Industry during COVID-19 Pandemic

The purpose of this paper is to explore, visualize, and analyze the state-of-the-art research of sentiment analysis in the tourism industry during COVID-19 using bibliometrics.The information source is obtained from the Scopus database from January 1, 2020, to November 27, 2021.A sample of 1690 documents was obtained within this period.Topic areas with titles, keywords, and abstract criteria in sentiment analysis and travel and tourism were used as a reference for extracting results.There was a significant increase in papers published in 2020 and 2021 related to COVID-19 and sentiment analysis.The top five most active countries were the United States (310 documents and 1799 citations), followed by the United Kingdom (170 documents and 12674 citations), China (240 documents and 1297 citations), Australia (120 documents and 430 citations), and Germany (44 documents and 172 citations).The maximum number of occurrences was "social media (401)" followed by "sentiment analysis (149)", "tourism (116)", "Covid-19 (131)", and "Twitter (77)".This study provides an overview of sentiment analysis and shows the trends in the research and publication with the tourism industry.