Reviewerly/exHarmony huggingface dataset:
Listening Section of the Simulated Toefl Test: Semantic and Pragmatic Context Analysis

Language users are impacted by sociolinguistic factors like semantics and pragmatics in every circumstance. Even in a proficiency test, those two contexts are present because they serve as the test's framework. In order to identify the semantic and pragmatic settings in the TOEFL test simulation for the Listening component, research was done. In this study, the researcher used a qualitative descriptive strategy, using document analysis as the instrument. The study's focus was the FORUM TENTOR INDONESIA publication TOP NO. 1TOEFL SIMULATION. The outcome demonstrates that different kinds of semantic and pragmatic context were present in the test simulation. In 8 of the 30 questions that were analyzed, there were semantic contexts. Semantic contexts of three different types—meaning, semantic feature, and semantic roles—were discovered. Semantic Roles (4 Questions), Semantic Feature (2 Questions), and Meaning are the other predominant semantic types (2 Questions). The Pragmatic context quantities, however, are more prevalent than the Semantic context. Because one test item can contain multiple types of pragmatic language, 40 questions from the 30 studied items were found to have pragmatic contexts. Additionally, the majority of the pragmatic inquiries were of the Reference type since the narrator of the listening section used referring to formulate the question. Context, Politeness, Reference, and Speech Act are the different types of pragmatic context that can be encountered. Reference-type pragmatic contexts are the most common (25 questions).
Perilaku Penelusuran Informasi Mahasiswa Dalam Pemanfaatan Media Video Online dengan Pendekatan Uses and Gratification

This study aims to describe information seeking behavior through online video media by students of the Faculty of Letters, University of North Sumatra and the information needs of students of the Faculty of Computer Science and Information Technology, University of North Sumatra with the Uses and Gratification Approach through online video media. This research uses a quantitative approach with a descriptive study type. The research data is in the form of analysis results regarding information seeking behavior through online video media and information needs with the Uses and Gratification approach through online video media. Data collection was carried out using questionnaires and interviews. Instruments used to collect data using questionnaires and structured interviews. Based on the research results, it is concluded as follows. First, students of the Faculty of Computer Science and Information Technology are able to search for information through online video media with coherent stages, namely starting, chaining, browsing, monitoring, differentiating and extracting. Second, students are able to meet information needs with the Uses and Gratification approach starting from cognitive needs, affective needs, personal integration needs, social integration needs and escape needs.&#x0D; Keywords: Student Information, Online Video Media, Uses and Gratification
Autonomous Berthing of Unmanned Surface Vehicles Based on Improved Dubins-RRT Algorithm and Non-Singular Terminal Sliding Mode Control

Autonomous berthing is the last step to achieving the autonomous operation of unmanned surface vehicles (USVs). Due to the significant disturbance of wind, waves, and currents and the uncertainties of the model, it is difficult to realize autonomous berthing. For the case of obstacles and dynamics of USVs, it is transformed into three steps including path planning, path tracking, and motion control of USVs in the paper. A new advanced Dubins-RRT algorithm is proposed for path planning, which improves the capacity of obstacle avoidance and path smoothness level. A virtual target guidance method is used to guide and track the planned path. In addition, a finite-time disturbance observer and a non-singular terminal sliding mode controller are designed to control the autonomous USVs. Observing and estimating the uncertainty terms in the model can ensure the convergence of the tracking error in a finite time. Finally, the feasibility of the designed method is verified through simulation and experimentation.
Social Media Regulation, Freedom of Expression, and Civic Space in Nigeria

This study investigates the impact of the digital revolution on freedom of expression and civic space in Nigeria, particularly examining the role of social media regulation in the country's shift towards autocratization. Employing secondary data sources, the research focuses on key variables, including the government's approach to online content regulation, social media shutdowns, and capacity to regulate online content. The analysis reveals that the government's attempts to control the new media space go beyond silencing the press to outright repression, leading Nigeria towards authoritarianism characterized by reactionary tendencies. Moreover, the study finds that the combination of excessive social media regulation, a suppressed judiciary, and a weakened legislature may result in authoritarian rule in Nigeria. The paper concludes that disobedience to court orders and the use of state institutions against political opposition contribute to the erosion of democracy, highlighting the importance of a balanced approach to social media regulation to protect freedom of expression and maintain a democratic society.
Sistem Informasi Booking Wedding Organizer Berbasis Website pada Max Entertaiment Kudus

Wedding organizers are services that can assist in preparing and carrying out wedding events. Max Entertainment is one of the providers of wedding organizer packages in Kudus whose services are still done manually. The problem that often arises is the lack of information that can be a guide for making decisions on wedding receptions and planning costs (budget) that must be incurred by the bride and groom. Therefore, the author designed an information on ordering wedding organizer services which aims to make it easier for the bride and groom to make the process of ordering wedding organizer services and become a promotional event for Max Entertainment Kudus itself. The method applied in this research is the UML method which is useful as a guide in designing this system and Black Box Testing as a method of testing the system that has been built. The expected result in this research is the creation of a website-based wedding organizer information system so that it can be accessed by prospective wedding organizer customers to place orders.
Strategi Penelusuran Informasi yang Efektif Menggunakan Internet terhadap Siswa/I di SMA Negeri 1 Percut Sei Tuan

Advances in information technology also bring fundamental changes in meeting the information needs needed. One of these technologies is the internet, which is an unlimited source of information and can be accessed anytime and anywhere for 24 hours. While printed sources have limited access, namely the place and time and the novelty of the collection. This study aims to find out the information that students are looking for through internet services. The research method used is this research method is qualitative research. The results showed that most of the students taught themselves to search for information through the internet (64.29%), while the frequency of using the internet to search for information was often (70.83%) carried out by most of the students in the library, and in this study half of the respondents' answers stated that students only use the internet once (50%) in one visit to the library, and almost half of the respondents' answers stated that students use the internet during breaks (41.46%).&#x0D; Keywords: search, information, internet
The Completeness of Thematic Collections - a Venn Diagram-Based Conceptual Approach

Multiple factors influence the degree of completeness of any thematic collection, such as a biological collection encompassing any natural group, but even any collection of man-made items (including art collections and object collections) that encompass any specific theme. The concept of “completeness” itself is both subjective, inasmuch as it may refer to any purpose unilaterally defined by the collector, and objective, inasmuch as that purpose includes an exhaustive coverage of the actual diversity inherent in the chosen group. In a general sense, also the factors (or “conditions”) that exert their influence on the collection process can be grouped in two dimensions: objective (availability) and subjective (desirability). The former, quantitatively ranging from rarity to abundance, is subject to collection bias as scientifically defined, while the latter defines the subjective aims of the collector. Both are influenced by cognitive biases, whose discussion is beyond the scope of this short paper, meant just to provide a graphical representation, based on logical Venn diagrams, of those main conditions, and to elucidate the discrete categories at the intersection of the observed sets of items.
Implementation of CRM To Retain and Attract New Customers At Yusni's Clothing Store

The rapid development of technology in today's world has had a major impact on store performance in all areas of business, both in trading and service companies. In maintaining more advanced competitiveness, stores must continue to develop technology, another thing that needs to be considered in making the company more advanced is the relationship with customers which is also an important thing to always maintain. To manage good relationships with prospective customers and customers, the company uses Customer Relationship Management (CRM). CRM is a service to customers that is personal, to provide a consistent experience, so that it can provide customer satisfaction, and also get good relationships in the long term. By implementing a good CRM, stores will be easier to interact with potential customers and customers and provide information according to their needs. Customers can also get the information they need more quickly and easily. The Customer Relationship Management (CRM) System for Web-Based Information Services at Yusni's Clothing Store can make it easier for consumers who are in the village of base lunang, sub-district of kualauh leidong, district of Labuhan Batu Utara.
Perancangan Kunci Kontak Sepeda Motor Menggunakan E-SIM dengan Jaringan RFID

Nowadays, the motorcycle key is assumed to be too old-fashioned because it still uses physical metal, is easily eroded, and is loose. A driver's license (SIM) is a card that needs to be brought when driving. It used the driver as evidence that they have a driving permit from the police. On the other hand, identity cards such as SIMs already have RFID technology. However, this technology is rarely used correctly. This study aims to design a motorcycle security system using RFID and, likewise SIM card model as a motorcycle ignition key. The study showed that the system could perform or operate well. Motorcycle key using RFID as a dummy SIM makes people easier who are careless in putting their motorcycle keys.
Two-Stream Spatial-Temporal Auto-Encoder With Adversarial Training For Video Anomaly Detection

Auto-encoder has been widely used in video anomaly detection which aims to detect abnormal segments in video surveillance. However, the previous auto-encoder methods preferred to reconstruct a model of the normal event that only trains on normal samples due to the lack of abnormal samples, which may lead to self-reconstruction and cannot guarantee a larger reconstruction error for an abnormal event. In this paper, a novel Two- Stream spatial-temporal auto-encoder (Two-Stream STAE) network with adversarial training is designed for video anomaly detection. The Two-Stream STAE network is composed of a spatial auto-encoder stream and a temporal auto-encoder stream. The spatial stream reconstructed the appearance model of the normal event by extracting features of detected objects, and the temporal stream encoded the stacked optical flow maps to reconstruct the temporal model of the normal event. In order to enlarge the reconstruction errors of the abnormal events in the network, an adversarial training branch that takes abnormal samples as input is proposed to train the model. A pseudo-abnormal dataset is also built to solve the problem of the lack of abnormal samples. Experimental results on three public benchmark datasets demonstrate the strong competitiveness of our proposed method when comparing with the state-of-the-art methods.
Keynote Speaker: Immersive Video Reality—Technology, Standard and Application

Due to recent advances and convergence of image processing, broadbandnetwork, XR displaying device, and deep learning, immersivevideo reality has become a topic of great interest in recent years.Compared with traditional 2D video display, immersive video realityaims to give people new interactive and telepresence experience:from traditional single view to free viewpoint, from traditional passiveviewing to active interaction with scenes, and from traditionalsingle view intelligence to free-view intelligence. Immersive videoreality is one of the core technologies in the era of the metaverse,which is going to have a great impact on television broadcasting, telecommunication,online education, telemedicine and other relatedindustries. In this talk, we will first review the recent advances ofimmersive video reality technologies; then introduce the progressesof immersive video reality standardization; and present the contributionsof our team in this area, especially the design of complete practicalsystem covering real-time immersive video reality capture, coding,streaming, and displaying, which has been applied in 2022 BeijingOlympic Games
Image Inpainting for Paint Crack by Space Distance and Difference of Bilateral Filter

本論文では, 絵画表面に生じたクラックの仮想修復を目的としたインペインティングを提案する. 本研究のインペインティングが対象とする欠損は, 油彩画の絵具層に生じる損傷を模した欠損である. 具体的には, ひび割れを想定した広範囲・高密度の細長い欠損, 一定幅内の絵具の剥落・汚損を想定した欠損である. 従来研究において, これらの欠損を含む絵画画像を良好に補完できるインペインティングが提案されていた. しかし, この方式は補完用のテクスチャ抽出にDOGフィルタを用いることで, テクスチャだけでなくエッジ成分も抽出してしまうという課題があった. 本研究では, このテクスチャ抽出にDOB(バイラテラル差分フィルタ)を用いることで, テクスチャにエッジ成分が含まれる問題を改善した. さらに, そのテクスチャ選択の方法に空間距離に基づくインペインティングを応用することで, 補完に用いるテクスチャ選択はより高精度となった. 提案法の有効性は, 補完結果を2 種類のRMSEによって評価し, 色情報とテクスチャ情報の両面から定量的に確認した.
Double-sided Design for Reinforcing Private Training of Basketball with an Advanced Imagery Opponent

This study discusses the design issues of the human-computer-interaction environment for developing recognition skills of a basketball player in one-on-one situations. Further, two types of actual implementations are proposed for supporting a slight movement of offense and defense repeatedly. Trainees lack physical opponents when they want to have a one-onone training session. Thus, this study discusses and designs a software-based opponent for a single trainee who has a limited space in the physical world. Firstly, the system monitors and analyzes the offense player's body movements, providing a counter-movement with thesilhouette of a visualized defense whose functions are based on the analysis of the monitored physical movement. The life-sized silhouette is displayed on a large screen in front of the trainee. Secondly, another system provides a realistic offense using a head mount display worn by a defense trainee for defense training. Furthermore, the defense receives feedback after the training. We discussed several findings through the first-round evaluation using these two systems. Finally, the extended function to strengthen the recognizing skillbased on the gaze information of defensive players is introduced and evaluated.
Towards flexible domain adaptation methods for cross-datasets studies of galaxies

the first time, we demonstrate the successful use of domain adaptation on two very different observational datasets (from SDSS and DECaLS). We show that our method is capable of bridging the gap between two astronomical surveys, and also performs well for anomaly detection and clustering of unknown data in the unlabeled dataset. We apply our model to two examples of galaxy morphology classification tasks with anomaly detection: 1) classifying spiral and elliptical galaxies with detection of merging galaxies (three classes including one unknown anomaly class); 2) a more granular problem where the classes describe more detailed morphological properties of galaxies, with the detection of gravitational lenses (ten classes including one unknown anomaly class).
A Fundamental Study of an Alternative Learning Framework Utilizing Natural User Interface (NUI) for Physically Disabled Students

An alternative learning framework utilizing a natural user interface (NUI) can be applied in the context of education for students whose needs are not catered for in the current learning environment in Malaysia. The alternative learning program would still follow the current subject syllabus, but with differences in how the lessons are delivered, learned and executed. A conceptual framework that enables the adoption of the alternative learning program using Microsoft Kinect in Malaysian education system was then proposed to minimize the gaps found in the current learning setting to cater for the special needs of physically disabled children in Malaysia, in particular, primary school children, using the National Curriculum as a guide. Since this is a new framework, the validity and reliability of the proposed framework will be analyzed. A usability test would also be conducted to gauge the acceptance of the proposed framework amongst the children.
Noise Estimation for MRI Images with Revised Theory on Histograms of Second-order Derivatives

Previous research by the author in the use of histograms of second-order derivatives showed that the differences between pixels in MRI images can be determined without referring to the ground truth for the purpose of noise reduction. Yet, the results of the previous research also showed that the methodologies used could not prevent false positives and negatives. To address this problem, a technique has been developed to involve multiple conditions that utilize the statistics of the histograms and the circumstances of neighbours in the vicinity of a pixel. The confusion matrix for this method shows that the technique has marginal but consistent improvement across the noise levels that are tested, compared to prior methods
The Development of Interactive E-Book-Based Teaching Materials for Senior High School Students

This study aimed to develop interactive e-book-based teaching materials for Madrasah Aliyah students in class X to support independent learning and to assess the levels of validity and practicability of their use. The growth of students' learning is positively impacted by the creation of teaching materials that are appropriate for their circumstances and ages, especially those that encourage independent learning. Field evidence indicates that students must build their knowledge outside the classroom to learn effectively, as suggested by the constructivist theory. This research employed the research and development method with the ADDIE (Analysis, Design, Development, Implementation, and Evaluation) model. The data were collected through questionnaires and observations and then analyzed using descriptive statistical techniques. The product of this research was an interactive e-book assisted by a Heyzine Flipbook with al-tahiyyat wa al-ta’aruf materials that could be accessed online via smartphones, tablets, and laptops. Based on the validation conducted by media experts, material specialists, and Arabic linguists, the validity of this product was rated as legitimate and worth testing with a feasibility score of 4.42, which was good, and an average eligibility percentage of 88%. Responses from 40 students and five Arabic teachers, who had a very positive response rate of 91%, were used to determine the practical value of use. Based on these results, the interactive e-book-based teaching materials assisted by the Heyzine Flipbook al-tahiyyat wa al-ta’aruf materials for Madrasah Aliyah students were valid and practical for use.
On Video Based Face Recognition Through Adaptive Sparse Dictionary

&lt;p&gt;Sparse representation-based face recognition has gained considerable attention recently due to its robustness against illumination and occlusion. Recognizing faces from videos has become a topic of importance to alleviate the limit of information content in still images. However, the sparse recognition framework is not applicable to video-based face recognition due to its sensitivity towards pose and alignment changes. In this paper, we propose a video-based face recognition method which improves upon the sparse representation framework. Our key contribution is an intelligent and adaptive sparse dictionary that updates the current probe image into the training matrix based on continuously monitoring the probe video through a novel conﬁdence criterion and a Bayesian inference scheme. Due to this novel approach, our method is robust to pose and alignment and hence can be used to recognize faces from unconstrained videos successfully. Moreover, in a moving scene, camera angle, illumination and other imaging conditions may change quickly leading to performance loss in accuracy. In such situations, it is impractical to re-enroll the individual and re-train the classiﬁers on a continuous basis. Our novel approach addresses these practical issues. Experimental results on the well known YouTube Face database demonstrates the effectiveness of our method.&lt;/p&gt;
AUTOMATED DELIVERY ROBOT

E-commerce growth has emphasized the need for efficient logistics and last mile delivery, which poses operational challenges.Automated systems such as delivery robots have emerged as a potential solution with their obstacle recognition and autonomous capabilities.Companies such as Amazon and Starship are testing this technology.
Making the Legal World: Normativity and International Computational Law

The attention devoted to so-called “computational law” has grown exponentially over recent years. However, to date, there has comparatively been much less discussion about the use of data-driven methods, including artificial intelligence, in the processes and institutions of international law. This paper discusses this in terms of “international computational law” and examines what the implications could be if the normativity of technology encounters the normativity of law in the context of international law-making processes. Will it be a smooth and fortuitous alignment or a surreptitious undermining of accepted legal practices—or something in between? To critically engage with this question, a closer look is had at current and future data-driven practices in international treaty-making, the identification of international custom and international institutional lawmaking. Consequently, three types of normativity (i.e., international legal, legal and technological) are analyzed in this context, building on an analysis of the fundamental underlying structure of law. This analysis of normativity leads to the conclusion that we cannot simply assume that these types of normativity will align organically when it comes to our international legal system. I therefore conclude this article by suggesting that more research should be conducted into an adequate conception of “international legal protection by design” to thoughtfully consider how to safeguard legal protection in an increasingly computationalized international legal order. This will be crucial if we want to ensure that international law in the algorithmic age affords us legal protection and that we design our global order with thoughtfulness, rather than encodethoughtlessness.