Reviewerly/exHarmony huggingface dataset:
Distributed integrity and non-repudiation scheme in the dynamic vehicular cloud environment

Data storage is one of the major applications of vehicular cloud computing (VCC) where the data is shared concurrently among many vehicles participating in vehicular communications. Integrity and non-repudiation are some of the important security challenges encountered during the provisioning of data storage services. This paper proposes an integrity and non-repudiation verification scheme in a dynamic vehicular cloud storage environment. Vehicle authentication is performed by employing Boneh-Lynn-Shacham (BLS) short signature mechanism. The cryptographic hash function and bitwise exclusive-OR (XOR) operation provide data integrity checking of messages which are uploaded from the vehicle to the cloud. RSU acts as a trusted verifier for data transactions. We evaluated the efficiency of the proposed scheme against standard attacks such as replay attack and tampering attack. Extensive simulations are carried out and the results are compared to ID-based cryptographic schemes. The scheme proposed achieved better in terms of computation overhead, average throughput and communication overhead.
On-Demand Model and Smart Contract Design for Monetizing IoT Data

This paper introduces an on-demand data monetization model for IoT devices. The Internet of Things (IoT) allows millions of devices to be connected to the internet and share data with the world. This creates a market for IoT device owners to monetize the data produced by their devices. Blockchain technology came to the world with the promise of providing a trustless and secure data and money exchange model. Our proposed model utilizes blockchain technology and smart contracts as a suitable candidate for IoT devices to share and monetize data on top of it. It uses the Blockchain infrastructure as a data storage and money exchange service. This model allows anyone who owns a device capable of producing data to be able to monetize this data easily by offering and selling it to others. On the other hand, it allows smooth data access and purchase for interested buyers.
Developing a Cipher Algorithm Based on Chaotic Neural Network

This study focuses on the design and implementation of a hybrid system model for compression algorithms, cryptography, and wireless link transmission. Chaotic Neural Network is a cipher encryption model built using neural networks and the notion of chaotic features (CNN). The proposed paradigm has been effectively incorporated into the MPEG-2 standard. In order to transfer the encrypted bit stream from source to destination using the OFDM approach, the plaintext (compressed video data) must first be converted into an encrypted state. The whole system model is demonstrated using Matlab programming, and the effectiveness of the overall results is assessed in this research using both subjective and objective metrics.
Is the Elderly Prepared for Robotics Adoption at Home Care Centers? Evidence from an Empirical Study

As our global population ages, the number of elderly at home care centers has increased. This phenomenon necessitates the need for technological solutions like robotics to take care of these people since relying on human resources is limited. This study is one of the few attempts to understand the factors affecting the adoption of robotics by the elderly at home care centers. To achieve this aim, we developed a research model that incorporates factors from the unified theory of acceptance and use of technology (UTAUT2) and the theory of reasoned action (TRA). The research model is evaluated using the PLS-SEM approach based on data collected from 116 elderly residing in different home care centers. Surprisingly, the results showed that performance expectancy, effort expectancy, facilitating conditions, hedonic motivation, social influence, and attitudes have an insignificant impact on the behavioral intention to use robotics. The results only supported the role of habit in influencing the behavioral intention to use robotics positively and significantly. These early results pave the way for future research investigating this phenomenon at home care centers. This study also offers some managerial implications for home care center providers, which need to be considered while planning to use robotics.
Image Editing of Light and Color from a Single Image: A Baseline Framework

Smart image editing is drawing attention and a wide range of edit operations have been investigated. We address the problem of creating new image versions where light conditions and object colors can be altered while maintaining physical coherence across the scene. We propose a baseline framework comprised of a surreal dataset with a large Ground-Truth on light effects and a set of basic deep architectures relying on intrinsic decomposition. Our proposal is evaluated for image relighting and outperforms the state-of-the-art on the previous VIDIT dataset. The codes and datasets are available: https://github.com/ liulisixin/ImageEditingSI
A 360&amp;#xB0; Omnidirectional Photometer using a Ricoh Theta Z1

Spot photometers measure the luminance that is emitted or reflected from a small surface area in a physical environment. Because the measurement is limited to a &#x201C;spot,&#x201D; capturing dense luminance readings for an entire environment is impractical. In this paper, we provide preliminary results demonstrating the potential of using an off-the-shelf commercial camera to operate as a 360&#xB0; luminance meter. Our method uses the Ricoh Theta Z1 camera, which provides a full 360&#xB0; omnidirectional field of view and an API to access the camera&#x2019;s minimally processed RAW images. Working from the RAW images, we describe a calibration method to map the RAW images under different exposures and ISO settings to luminance values. By combining the calibrated sensor with multi-exposure high-dynamic-range imaging, we provide a cost-effective mechanism to capture dense luminance maps of environments. Our results show that our luminance meter performs well when validated against a significantly more expensive spot photometer.
Visibility Improvement in Air Pollution Scene by Joint Sharpness - Contrast Enhanced Dehazing

In the latter half of the 1980s, PM2.5 pollution in Beijing became a serious problem, and there were concerns about health hazards. It was expected that China's emissions must be reduced from 2013 to 2016, and the lockdown effect of Covid-19 would bring about an end, but it is still reluctant to regulate CO2 emissions. Again, in Beijing in November 2021, a visibility of 500 m or less has been observed, then road traffic is dangerous in addition to health. After that, the center of pollution has moved from India to Mongolia, and now Nepal, Qatar and Saudi Arabia. The situation is still serious in developing countries. Image restoration to remove the effects of haze and fog has been a long-standing concern of NASA, and their original Visual Servo has been put into practical use. Though the mainstream moved to the technique based on atmospheric physics. He et al.'s Dark Channel Priority (DCP) logic has had a certain effect on heavily polluted PM 2.5 scenes , but there is a limit to the restoration of detailed visibility. The observed images are affected by two spatial inhomogeneities of 1) atmospheric layer and 2) illumination. As a countermeasure, we have improved DCP process with the help of Retinex and introduced the veil coefficient as reported in CIC24. Recently, a variety of improvements in single image Dehazing, using FFA-net, BPP-net, LCA-net, or Vision-based model are in progress. However, in each case, visibility of details is still a common problem. This paper proposes an improvement in detail visibility by (1) joint sharpness-contrast preprocess and (2) adjustment in Dehaze effect with veil coefficient v. Lastly, we challenge numerical evaluation of improvement in detail visibility by the two ways of attenuation of high-frequency Fourier spectrum and the expansion rate of the color gamut.
Luminance, Brightness, and Lightness Metrics for HDR

High dynamic range (HDR) technology enables a much wider range of luminances &#x2013; both relative and absolute &#x2013; than standard dynamic range (SDR). HDR extends black to lower levels, and white to higher levels, than SDR. HDR enables higher absolute luminance at the display to be used to portray specular highlights and direct light sources, a capability that was not available in SDR. In addition, HDR programming is mastered with wider color gamut, usually DCI P3, wider than the BT.1886 (&#x201C;BT.709&#x201D;) gamut of SDR. The capabilities of HDR strain the usual SDR methods of specifying color range. New methods are needed. A proposal has been made to use CIE LAB to quantify HDR gamut. We argue that CIE L* is only appropriate for applications having contrast range not exceeding 100:1, so CIELAB is not appropriate for HDR. In practice, L* cannot accurately represent lightness that significantly exceeds diffuse white &#x2013; that is, L* cannot reasonably represent specular reflections and direct light sources. In brief: L* is inappropriate for HDR. We suggest using metrics based upon ST 2084/BT.2100 PQ and its associated color encoding, IC&lt;sub&gt;T&lt;/sub&gt;C&lt;sub&gt;P&lt;/sub&gt;.
Analysis of Individual Quality Scores of Different Image Distortions

In this paper, we study individual quality scores given by different observers for various image distortions (saturation, contrast, and color quantization) at different levels. We created a database that contains a total of 232 images, derived from 21 pristine images, three distortions, and five levels. The database was rated by 31 participants collected through an online platform. The study shows that observers have distinguishable patterns with respect to different distortions. Using quadratic regression models, we visualized the behavior patterns of different groups of observers. The database and the individual scores collected are publicly available and can be further used for quality assessment research.
The Effect of Japanese Chefs" Communication Types on Self-Efficacy and Organizational Citizenship Behavior

This study aimed to verify how the communication type of Japanese chefs affects their self-efficacy and organizational citizenship behavior due to the improvement in satisfaction caused by smooth communication between visiting customers and colleagues. To this end, an empirical analysis was conducted targeting Japanese cooks working at Japanese restaurants in Bueul-gyeong (Gyeongnam, Busan, Ulsan). The results and implications of the empirical analysis are presented as follows. First, the type of communication (verbal communication, body language, spatial language, external language) of Japanese chefs had a positive (+) effect on self-efficacy. Second, Japanese cooks" self-efficacy had a positive (+) effect on organizational citizenship behavior. Third, the type of communication (verbal communication, body language) and organizational citizenship behavior had an insignificant mediating effect on the self-efficacy of Japanese cooks. As a follow-up study, it is necessary to generalize the population of the study through a wider sample survey across the country.
The Effect of Tourism Policy Perceived by Tourism Employees on Policy Trust and Policy Accecptance: Focusing on Busan City

This study presented the necessity and desirable operation direction of Busan tourism policy and suggested implications for improving policy trust and policy acceptance, and the following results were derived. First, the hypothesis that institutional environmental factors, local government capability factors, and tourism environmental factors, which are sub-factors of tourism policy, will have a significant positive (+) effect on policy trust, but community capability factors were found to have no significant positive effect on tourism policy performance. Second, the hypothesis that local government competency factors, which are sub-factors of tourism policy, will have a significant positive (+) effect on policy acceptance was adopted, but institutional environmental factors, community competency factors, and tourism environment factors did not have a significant positive (+) effect on policy acceptance. Third, the hypothesis that policy trust will have a significant positive (+) effect on policy acceptance was adopted. Therefore, in order to improve trust in tourism policies recognized by tourism workers, Busan City and Busan City tourism workers should continuously meet and discuss to develop and maintain sustainable tourism projects, and in this process, exchange between Busan and Busan tourism workers should be actively carried out.
Using Mobile game-based English Vocabulary Learning Apps to Improve Vocabulary Acquisition in Primary School

With the rapid development of game-based word memorization apps, little evidence suggests that it to some extent, affects students' vocabulary acquisition. This paper aims to identify whether mobile learning apps with game functions would have a positive influence on primary school students' English word learning. Also, this paper describes the function, acceptability, and problem, thereby providing several suggestions for game-based English vocabulary learning apps. The conclusion is that mobile game-based vocabulary learning app largely motivates students to learn English words.
First-order quantum phase transition and entanglement in the Jaynes–Cummings model with a squeezed light

We study the quantum phase transition and entanglement in the Jaynes–Cummings model with squeezed light, utilize a special transformation method to obtain the analytical ground state of the model within the near-resonance regime, and numerically verify the validity of the analytical ground state. It is found that the ground state exhibits a first-order quantum phase transition at the critical point linearly induced by squeezed light, and the ground state entanglement reaches its maximum when the qubit-field coupling strength is large enough at the critical point.
ENGLISH DEBATING AT AN ISLAMIC BOARDING SCHOOL: BEYOND SPEAKING SKILL AND CRITICAL THINKING

Plenty of studies have investigated English debating as a method to improve students’ speaking skill and critical thinking, whereas debating itself requires combination of several skills altogether from preparation to evaluation stage. Each stage in debating requires different skills. This study aims to shed some light on the influence of English debating activities on the progress of English skills and non-English skills of its members. Three former members of English debating club at an Islamic boarding school were involved in this study. The data were collected through questionnaire and followed by semi-structured interview. The entire data collection stage was conducted online due to pandemic condition. The data were then coded and analysed using constant comparative method. This study revealed that English debating brought a good progress on both English skills and non-English skills of its members. Not only it improved the students’ speaking skill, but it also improved reading, listening, and writing skills. Along with the skills progress, they also confirmed much better vocabulary and grammar mastery. Non-English skills were also well-developed through English debating activities namely critical thinking, confidence, teamwork, and persistence. Team members interactions and coaching from the English teacher contributed a lot toward their progress. This study implies that English debating is suitable to develop all English skills as well as the students’ ability of critical thinking, teamwork, confidence, and persistence.
Zebra-crossing detection based on cascaded Hough transform principle and vanishing point characteristics

Abstract In this study, a zebra-crossing detection method based on cascaded Hough transform (CHT) and vanishing point (VP) characteristics is proposed. In this method, the principle of detecting straight lines in the parallel coordinate system is applied to zebra-crossing detection. Each edge point of the image obtained by edge detection is represented in the parallel coordinate system to find the VP. Using the VP coordinate as the judgment condition, those straight lines that do not pass through the VP but meet the straight-line condition are excluded to obtain the straight lines passing through both sides of the zebra crossing, and finally fit the edge points on the straight line, and get the zebra-crossing fitting line segment. Experiments show that CHT has obvious advantages in detection accuracy and speed compared with the Hough transform. At the same time, VPs can be used to eliminate interference segments, which provide support for the accuracy of zebra-crossing detection. This method can get zebra-crossing location information without using region of interest extraction, which also provides a reference method for road detection in some specific cases.
Obtaining Estimators from Correlation Coefficients: The Correlation Estimation System and R

Correlation coecients a very broad range of statistical estimators that rivals least squares. The whole area could be called a \Correlation Estimation System. This paper outlines some of the numerous possibilities for using the system and gives some illustrative examples. Detailed explanations are developed in earlier papers. The formulae to make possible both the estimation and some of the computer coding to implement it are given. This approach has been taken in hopes that this condensed version of the work will make the ideas accessible, show their practicality, and promote further developments.
STUDIES WITH A SMALL GAMELAN GONG

A gamelan is an ensemble of ethnic musical instruments from parts of Indonesia where it is centralto musical art and commands huge respect. It is also found in some neighboring countries. While itinvolves many different types of instruments its backbone consists of metalophones and gongs. show a vertical cross-section through the centre of a typical small gamelan gong placed on ahorizontal surface. It consists of a central dome A on top of a flat plate which is terminated by ashoulder BC and then a deep inward sloping rim CD. The vertical line AE is the axis of symmetry.These gongs are rung by being stuck on the central dome with a mallet. Large gongs aresuspended vertically by strings. Smaller ones are mounted horizontally from underneath on parallelstrings. Since a “perfect” gong has complete axial symmetry one can conclude that its normalmodes have nodal patterns consisting of m equally spaced “diameters” and n circles parallel to therim’s edge. Modes with m = 0 are axisymmetric singlets while those with m > 0 occur in degeneratepairs with the diameters of one bisecting those of its partner. Modes can be designated by (m, n)with the addition of a subscript outside the brackets if it is desired to distinguish between a doublet’scomponents. In practice gamelan gongs are cast, sometimes rather roughly, and so havegeometrical and metallurgical imperfections which break the basic axial symmetry. Consequentlythe doublets split and distortions appear in some nodal patterns. In the present work we areconcerned with a small steel gong of 20.7cm diameter originating from Sarawak.
Literacy for the 21st Century: A Balanced Approach, 3rd edition

The purpose of this product is to support PST develop knowledge, understanding and skill in teaching literacy to children from the Foundation Year to Year 6. To assist in achieving these goals, the product outlines from the beginning that successful teaching involves knowing the students, the content and associated curriculum requirements, and understanding how to apply this knowledge in explicit and skilled ways to meet individual students’ literacy learning needs. The product emphasises that effective teachers continually engage in reflective practice to gauge if and how each student’s learning goals are achieved. It challenges the PST to consider ways of knowing, learning and teaching, providing opportunities to consider ways of using digital platforms to develop children’s reading, writing, speaking, listening and viewing skills. Developed for preservice teachers, practising teachers and those interested in English literacy teaching and learning, this product includes a range of vignettes drawn from classroom and university practice across Australia, examples that stand to authenticate the learning. [Book Synopsis]
War Versus Inspirational in Forrest Gump: Cultural Effects in Tagging Communities

People from different cultures vary in cognition, emotion, and behavior. We explore cultural differences in a tagging system. We developed a model of cultural differences and performed a controlled empirical study with American and Chinese subjects to investigate questions that arise from the model. American and Chinese subjects differed in many ways: the number and types of tags they applied; the extent to which they applied suggested tags or entered new tags of their own; and how often they applied tags that originated from a different culture. Our results are consistent with theories of cultural differences between Asian and Western cultures. Our findings suggest new opportunities and mechanisms for shaping user behavior to produce useful tag repositories.
Automated Attendance System Using Face Recognition

Project ReportSubmitted in partial fulfillment of the requirements for the degree ofBachelor of Computer Engineering
Carrying Binding Label/Segment-ID in PCE-based Networks.

It is possible to associate a binding label to RSVP-TE signaledTraffic Engineering Label Switching Path or binding Segment-ID (SID)to Segment Routed Traffic Engineering path. Such a binding label/SIDcan be used by an upstream node for steering traffic into theappropriate TE path to enforce TE policies. This document proposes anapproach for reporting binding label/SID to Path Computation Element(PCE) for supporting PCE-based Traffic Engineering policies.
Voracities and Verities Are sometimes Interacting*

The report writing process continues to warrant discussion and study, however, for professionally aware technical writers or editors are probably made, not born. A report writer must always keep in mind certain of the old axioms. A writer in industry must proceed carefully and conscientiously to organize, to structure—to provide, in other words, an overall arrangement of his material. Redundancy has been found helpful but not essential, provided the basic information appears in any given piece of writing; however, in most cases the reader will balk, sometimes seriously, if the material appears in too dense a form. Transitions, both between paragraphs and within them come with effort, but the effort pays much in reader ease and in making one’s writing fully effective as an informative document. The stories are legion regarding faux pas that create problems, such as the writer who left off a cipher, so that 100,000 became 10,000.
Analysis of Mobile Technology Impact on STEM-based Courses, Specifically Introduction to Engineering in the Era of the iPad

s in electrical engineering from the University of Texas, El Paso, with a special focus on data communications.He is currently pursuing a Ph.D