Reviewerly/exHarmony huggingface dataset:
A Pupil Localization Method Based on Dual Threshold and Contour Compensation

Gaze tracking plays a crucial role in human-computer interaction, psychological assessment, virtual reality, and other related fields. The key step in gaze tracking is to accurately locate the pupil under different environmental conditions. The accuracy of pupil localization can be compromised by partial reflection, eyelid or eyelash occlusion, and other similar factors. In this paper, we present an algorithm that utilizes high and low thresholds and pupil compensation to address the aforementioned issues. Firstly, we preprocess the original eye image by applying Gaussian blur and downsampling techniques, locate the darkest pixel area, and determine the high and low thresholds. Next, we extract the pupil contour using binarization and Canny edge detection. Finally, we refine the pupil contour to subpixel level and fit an ellipse to the contour using the least-squares method to obtain the pupil parameter information. Additionally, we propose a method for removing occlusions and compensating contour points, which allows for accurate pupil localization under varying degrees of occlusion. The experimental results show that the algorithm in this paper has a positioning accuracy of 70.63% within the 5-pixel error range on the LPW dataset, which is better than some algorithms.
Characterizing and Modeling Mobile Networks User Traffic at Millisecond Level

The availability of datasets has been instrumental to drive advances in several disciplines like computer vision, image processing, and natural language processing. However, in the context of mobile traffic, data is often not available because of diverse reasons including data sensitivity, legal considerations and business competition. The lack of dataset availability restrains the research advance at large.
Chatbots

Chapter 9 is a completely new chapter and deals with how to use chatbots, such as ChatGPT, to improve your English. It covers: The chapter also discusses whether using a bot is an act of plagiarism.
Analisis User Experience terhadap User Interface Website dengan Design Thinking

The user interface is closely related to the user experience which is the key success of a website because a good design is not only aesthetic but also expected to be useful for its users. This study aims to analyze the user experience of the websiteâ€™s user interface through design thinking so that can improve user understanding of the Superyou.co.id website. The research methodology is descriptive and qualitative in the form of written words from people and observed behavior with a human- centered approach through the stages of design thinking. Data was collected through interviews with users, company stakeholders, non-participant observation, and usability test in the 24-45 year age group as well as conducting a literature study. The study results show that users do not understand the information on the website both visually and content so they difficult to understand the purchase flow, causing disinterest and distrust of SuperYou.
Research on Automatic Elimination of Laptop Computer in Security CT Images Based on Projection Algorithm and YOLOv7-Seg

In civil aviation security screening, laptops, with their intricate structural composition, provide the potential for criminals to conceal dangerous items. Presently, the security process necessitates passengers to individually present their laptops for inspection. The paper introduced a method for laptop removal. By combining projection algorithms with the YOLOv7-Seg model, a laptop’s three views were generated through projection, and instance segmentation of these views was achieved using YOLOv7-Seg. The resulting 2D masks from instance segmentation at different angles were employed to reconstruct a 3D mask through angle restoration. Ultimately, the intersection of this 3D mask with the original 3D data enabled the successful extraction of the laptop’s 3D information. Experimental results demonstrated that the fusion of projection and instance segmentation facilitated the automatic removal of laptops from CT data. Moreover, higher instance segmentation model accuracy leads to more precise removal outcomes. By implementing the laptop removal functionality, the civil aviation security screening process becomes more efficient and convenient. Passengers will no longer be required to individually handle their laptops, effectively enhancing the efficiency and accuracy of security screening.
Evaluation of the clinical effectiveness of a diversified smart ward based on the Internet of Things to promote accelerated recovery of post-operative lung cancer patients

Background: "Smart ward" is the intelligent transformation of patient's medical environment and medical services by using Internet, artificial intelligence, Internet of Things technology and intelligent hardware devices, and the construction of smart ward has already started a wave of exploration, aiming to achieve quality medical services with the times. This study aims to create and improve a diversified smart ward based on 5G and explore its effect on accelerating the recovery of lung cancer patients, so as to establish a high-quality, convenient and comprehensive intelligent service system that is "patient-centered" and realize the characteristic exemplary management.
Comparison Analysis of Bubble Sort Algorithm with Tim Sort Algorithm Sorting Against the Amount of Data

The role of algorithms in software or programming is so important that you need to understand the basic concepts behind them. In most of our daily life, we often face problems that need to be solved by entering the data sorting process. A lot of programming logic has been created, both in the general case and in the special case. In this study, the authors carried out the sorting process with two methods, namely bubble sort and tim sort. Sorting application is built using C++ program. Algorithms are needed in order to be able to solve a problem more effectively and efficiently in a shorter time using only a few resources. The preparation of this research uses data collection methods that aim to obtain the necessary data so that it can be extracted to be used as information. It is hoped that from this information it can be seen that the comparison of the bubble sort algorithm with the tim sort is getting better in the data sorting process, if the number of inputted data is greater than n.
Kelayakan Lead Apron sebagai Pelindung Paparan Radiasi Hambur

Background: Lead apron constitutes one of the radiation protection devices available in the Radiology Department which is normally used in diagnostic and intervention radiology examinations to reduce the scattered radiation originating from the patient. The purpose of this study is to determine the physical condition, care, and maintenance of the lead apron. Methods: This research was quantitative research with survey methods at the Radiology Department of Al Islam Hospital Bandung and Al Islam Polytechnic Laboratory, Bandung. Results: The results suggested that the lead apron test at the Radiology Department of Al Islam Hospital Bandung contained 1 apron that had a leak with the covering area of 6458.67 mm2 and had to be rejected. The lead apron test at Al Islam Polytechnic Laboratory in Bandung contained 1 apron that had a leak with the covering area of 8750 mm2 and it had to be rejected. Conclusions: The lead apron at the Radiology Department of Al Islam Hospital Bandung and Al Islam Polytechnic Laboratory had one leak apron with the covering area of more than 670 mm 2 and had to be rejected. It is necessary to pay attention to the placement of the lead apron so that the lead apron is in good condition and can be used according to its function.
Application of the K-Nearest Neighbor Method in Determining Web-Based Early Childhood Development

Childhood is a period of rapid growth and development, so it is often termed as the golden period as well as the critical period. The golden period can be realized if at this time infants and children obtain suitable nutritional intake for optimal growth of flowers. But during this time Posyandu process is still done manually, so in providing the nutritional status information children must wait long. System that is able to assist in solving the problem is the Decision Support System (SPK) with the method K-Nearest Neighbor (KNN) that can produce information on the nutritional status of children that is the status of poor nutrition obtained from the calculation of weight /Age, very short status is obtained from the calculation of height/age, and very skinny status obtained from calculation of weight/height. And hopefully this system can be used in Posyandu to monitor the growth of children so that children with less nutritional status and poor nutrition get better and faster handling. The design of this decision support system uses a Web-based system with PHP programming language and a MySQL database for the web to be easily accessed.
Behaviour Trace-Based Unsupervised Deep Embedding for Online Multiple Product Recommendation in Commercial Banks

Recommender systems (RSs) for products and services stay central to the operations of commercial banks in China. Efficiency, effectiveness and resilence of relevant methods are therefore the main focus. In this paper, a novel Behaviour Trace-based Unsupervised Deep Embedding (BTUDE) architecture has been developed for online recommendation of multiple products in the mobile bank application of a large commercial bank in China (LCB). BTUDE is implemented with a Variational AutoEncoder (VAE) model in which a ResNet1D network and its reverse implementation, modified for 1D time series processing, play the role of encoder and decoder, respectively. In this architecture, Customer behaviour data grouped in many time series are first processed with a novel normalization method, and then fed into the VAE model. As a quantitative form of the customer profile system, BTUDE represented as the latent space embedding generated by VAE is built up independent of scenarios for any specific product recommendation. In recommendation events for each specific product, BTUDE similarity between potential customers and those already possessed the product can be used as the feature to further detect target customers via a two-component Gaussian Mixture Model (GMM). Different types of tests have been carried out. Online A/B tests have been conducted for a money market fund product. Performance for wealth management and life insurance products are also evaluated. The promising results show that BTUDE is effectively adapted to online environment for recommendation shifting among multiple products in a fast pace.
PENGEMBANGAN BAHAN AJAR HAND OUT BERBASIS KODE QR DALAM MATERI PENGUMPULAN DATA KELAS V MADRASAH IBTIDAIYAH

Mathematics is a fundamental science; its scientific results cannot be revised or written because it follows mathematical proof. This creates anxiety and problems from various facts that exist for students, making their learning outcomes decrease. Moreover, rapid technological advances are not balanced with advances in the quality of existing human resources coupled with the COVID-19 pandemic, which significantly affects the world of education in Indonesia, and the intellectual quality of students is declining. With the advancement of technology, it should be an opportunity to develop teaching material to make it easier for students to carry out teaching and learning activities. The development of teaching materials that will be discussed in this article is the development of QR code-based handout teaching materials containing learning videos that are relevant to the material studied, namely, grade 5 material in the form of data collection.
Requirement Elicitation with End User: A Case Study for Research Laboratory

One important construction project issue is sustaining the designs according to the requirements. Defining the requirement differs due to client and buildingtypology. For some projects, they are elicited before the project stages, and for the rest, they are elicited with the involvement of the architects. For all cases, the proper elicitation of the requirements is vital. End-users have important requirement knowledge for their buildings because of their experience withspaces that will be designed. However, it is hard to capture end-users’knowledge resulting from less technical knowledge, lack of proper frameworks,and insufficient time. This study investigates end-users’ involvement inrequirement elicitation in an applied process. The process was executed in the design of Kırıkkale University Research Laboratory. The case study is important for requirement management because this building type is also accepted as having complex and detailed requirements. In the study, a theoretical framework is first conducted, and then the design and applied process of the building is presented. The evaluation part explains the major contributions of the applied process.
LNGate<sup>2</sup>: Secure Bidirectional IoT Micro-Payments Using Bitcoin's Lightning Network and Threshold Cryptography

Bitcoin has emerged as a revolutionary payment system with its decentralized ledger concept; however it has significant problems such as high transaction fees and low throughput. Lightning Network (LN), which was introduced much later, solves most of these problems with an innovative concept called off-chain payments. With this advancement, Bitcoin has become an attractive venue to perform micro-payments which can also be adopted in many IoT applications (e.g., toll payments). Nevertheless, it is not feasible to host LN and Bitcoin on IoT devices due to the storage, memory, and processing restrictions. Therefore, in this paper, we propose a secure and efficient protocol that enables an IoT device to use LN's functions through an untrusted gateway node. Through this gateway which hosts the LN and Bitcoin nodes, the IoT device can open & close LN channels and send & receive LN payments. This delegation approach is powered by a threshold cryptography based scheme that requires the IoT device and the LN gateway to jointly perform all LN operations. Specifically, we propose thresholdizing LN's Bitcoin public and private keys as well as its public and private keys for the new channel states (i.e., commitment points). We prove with a game theoretical security analysis that the IoT device is secure against collusion attacks. We implemented the proposed protocol by changing LN's source code and thoroughly evaluated its performance using several Raspberry Pis. Our evaluation results show that the protocol; is fast, does not bring extra cost overhead, can be run on low data rate wireless networks, is scalable and has negligible energy consumption overhead. To the best of our knowledge, this is the first work that implemented threshold cryptography in LN.
Analysis of the Current Situation and Optimization Strategy of University Education Management Informatization

The results of university education management work are directly related to its future development. In the background of the modernization of higher education in China at present, it is very important to use modern information technology to promote the development of college education management, and to realize the modernization of related management. With the wide application of the Internet, education management informatization has become inevitable. Education management informatization can not only improve the effect of education management, but also promote the sustainable development of colleges and universities. Therefore, the realization of educational management informatization has become an important development direction in the current college education reform process. Based on this, this paper discusses the current situation and optimization strategy of university education management informatization.
Analisis Misregister Cetak Brosur Pada Mesin Ofset Heidelberg GTO 2 Warna

This study aims to determine the results of the print brochure by students during the Competency Test at SMK Grafika Mardi Yuana Bogor. The offset print system is very dominating for the amount of printed with moderate to small quantity, in the printing process requires skills and techniques in the printing process. Many problems that often arise from paper material and printing techniques, efforts to control the print problem of Misegister on the Heidelberg GTO 2 color of the paper are derived from non -elbow paper, the anleg adjustment is not precise and from the engine factor because the engine is not maintained, the machine is old and due to the number of molds a little so that the operator ignores the data printing process procedure taken from the Pareto analysis tool in the printing process. From the factors causing problems in the printing process of 4 colors in the Heidelberg GTO 2 color offset, it is due to the incorrect plate installation problem so that the print register is dificult to achieve and often changes. How to control the print in the brochure printing process by changing the clamping clamping clamp and mastered printing theory and following print operational standards.
Trace Element Composition of Chalcopyrite from Volcanogenic Massive Sulfide Deposits: Variation and Implications for Provenance Recognition

Abstract Chalcopyrite from 51 volcanogenic massive sulfide (VMS) and sea-floor massive sulfide (SMS) deposits from six lithostratigraphic settings was analyzed for trace elements by laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS) to evaluate its potential as an indicator mineral for exploration. Partial least squares discriminant analysis (PLS-DA) results reveal that chalcopyrite from different lithostratigraphic settings has different compositions reflecting host-rock assemblages and fluid composition. Three random forest (RF) classifiers were developed to distinguish chalcopyrite from the six lithostratigraphic settings with a divisive approach. This method, which primarily classifies according to the major host-rock affinity and subsequently according to VMS settings, yielded an overall accuracy higher than 0.96 on test data. The model validation with literature data having the same elements required by the models yielded the highest accuracies (&amp;gt;0.90). In validation using published data with missing elements, the accuracy is moderate to high (0.60–1); however, the performances decrease significantly (&amp;lt;0.50) when the most important elements are missing. Similarly, RF regression models developed using all sets of analyzed elements to determine ccp/(ccp + sp) ratio (ccp = chalcopyrite; sp = sphalerite) in chalcopyrite within a single VMS setting reported high performances, thus showing a potential to predict the Cu/Zn ratio (Cu-rich vs. Zn-rich) of the mineralization based on chalcopyrite composition. This study demonstrates that trace element concentrations in chalcopyrite are primarily controlled by lithotectonic setting and can be used as predictors in an RF classifier to distinguish the different VMS subtypes.
Single and Binary Performance Comparison of Data Compression Algorithms for Text Files

Data compression is a technique used to reduce the size of a file. To reduce the size of a file, unnecessary information is removed or parts that repeat the same information are stored once. Thus a lossless compression is achieved. The extracted file has all the features of the compressed original file and can be used in the same way. Data compression can be done using different techniques. Some of these techniques are Huffman coding, Lempel-Ziv-Welch coding and Burrows-Wheeler Transform. Techniques such as Huffman coding, Lempel-Ziv-Welch coding and Burrows-Wheeler Transform are some of them. Which technique to use depends on the type and size of the data to be compressed. Huffman, Lempel-Ziv-Welch, Burrows-Wheeler Transform and Deflate algorithms are the most widely used techniques for text compression. Each algorithm uses different approaches and can produce different results in terms of compression ratios and performance. In this study, different data compression techniques were measured on specific data sets by using them individually and in pairs on top of each other. The most successful result was obtained with the Deflate algorithm when used alone and the achieved compression ratio was 29.08. When considered in the form of stacked pairs, the compression ratio of the Burrows-Wheeler Transform and Deflate gave the best result as 57.36. In addition, when compression is performed in pairs, which algorithm is applied first and which algorithm is applied afterwards can make a significant difference in the compression ratio. In this study, the performance measurements obtained by applying the algorithms in different orders are compared and suggestions are presented to obtain optimum performance
Knowing What You Need to Know

Blockers can take a tiny task and stretch it over days or weeks. Taking a moment at the beginning of a project to look for and prevent possible blockers can improve productivity. These examples of personal, team, and organizational levels show how gathering the right information and performing preflight checks can save hours of wasted time later.
The Influence of Audit Knowledge and Experience on the Detection of Regional Loss Findings

This study aims to obtain information and analyze the effect of audit knowledge and experience on the detection of regional loss findings. This research was conducted at the Regional Inspectorate of Sijunjung Regency. The sampling method used the personally administered questionnaires technique. The test used is multiple regression. The results of the study show that audit knowledge and experience have an effect on the detection of regional loss findings. Based on the results of multiple linear regression tests, it was found that the most dominant variable was audit knowledge.
РОЗВИТОК ТВОРЧОГО МИСЛЕННЯ УЧНІВ ПОЧАТКОВИХ КЛАСІВ У ПРОЦЕСІ ПОЗАКЛАСНОЇ РОБОТИ

This study is devoted to the theoretical substantiation of the problem of the development of creative thinking of elementary school students in the process of extracurricular work.The characterization of the conceptual apparatus of the study is carried o
Enhancing Automatic Speech Recognition and Speech Translation Using Google Translate

Communication between speakers of many languages is made possible by cutting-edge technologies like spoken language translation. The process of automatically recognizing, translating speech in real life is still a particularly challenging part of spoken language translation. Because it necessitates a fundamental modification of both linguistic and non-linguistic attributes, interpreting spoken words directly from one language to another is difficult. Numerous basic modules, like Google Translate and Text-to-Speech, are capable of achieving this. This speech recognition model not only demonstrates technological proficiency, but also offers a helpful platform for those who have hearing challenges. The majority of hearing-impaired people find it difficult to communicate because they rely on lipreading or other specialized treatments and struggle to understand broad information in this modern era. For those who have hearing impairments, speech recognition software would offer a comprehensive long-term answer because live speech-to-text translations will improve their communication skills.