Reviewerly/exHarmony huggingface dataset:
On the relationship between SSIM and PSNR for DCT-based compressed images and video: SSIM as content-aware PSNR

&lt;p&gt;The aim of this paper is to show how the structural similarity metric SSIM for image quality assessment can be seen in many cases, such as DCT-based compressed images and video, as a content-aware version of the peak signal-to-noise ratio (PSNR). In fact, under some assumptions described in the paper, the first can be derived directly from the latter based on a single content-dependent parameter, i.e. the variance of the image / video frame. &lt;/p&gt;
A Dynamic Time-Bound Access Control for Secure Hierarchical Content Sharing

&lt;p&gt;With rapid growth of mobile users, protecting content from unauthorized users become a complex problem. The concept of temporal role-based access control reduces complexity of user management and restricts access to specified time-slots. But, content privacy is still questionable in case of system resources compromise unexpectedly. Therefore, cryptographic solution for time-bound hierarchical content management is an emerging problem. Most of the related schemes focused on individual user keys and/or revocation, but not on time-bound keys. Hence, these are not well suitable for subscription-based services like pay-TV and newspaper. In this paper, we propose a cryptographic time-bound access control with constant size time-bound keys. In our scheme, subscribed time-slots embed into individual user keys to avoid periodical broadcasting of temporal keys. We prove that our scheme is selectively secure under chosen-ciphertext attack. We then discuss cloud-based application to show the strategies of efficient revocation and reduce user computational overheads.&lt;/p&gt;
Peningkatan Pemahaman Membaca Berhitung Melalui Literasi Dan Numerasi Pada Siswa

The Covid-19 pandemic has had many impacts on the world of education, especially in the pre-school period for students. Many obstacles occur in the learning process at one of the MI schools in Gresik. The occurrence of learning barriers in grade 1 and 2 students is due to several factors that cause it, such as the lack of parental attention to children when at home, causing problems in the form of learning barriers for students. Thus causing a lack of motivation to learn in children. One of the efforts that can be done in this problem is to provide learning assistance to students who have learning disabilities. This mentoring process is carried out with the direction of the teacher and homeroom teacher of the student. The students we provide assistance with are recommendations from the homeroom teacher and approval from students' parents. Prior to the implementation of this mentoring process, students made direct observations in grades 1 and 2 in the learning process, the results of these observations were strengthened by interviews with the teachers and students. As a result of the tutoring assistance, students are better able to recognize the letters of the alphabet, fluently read and count in addition and subtraction categories.
The Effect of Multiple-Slot Substitution Drill on Students’ Grammar Mastery at the Eighth Grade Students of SMP Islam Al Akbar Malang

This study aims to investigate the effect of multiple-slot substitution drill on students’ grammar mastery through true experimental research design conducted with an experimental group and a control group. Target population of this study was all the eighth grade students of SMP Islam AL Akbar, Singosari- Malang 2021/2022. The researcher took 46 students as sample of the study, by using saturated sampling, 23 students as experimental group and 23 students as control group. To collect data, she used grammar written post-test with 20 items in multiple-choice format. In analyzing data, she used IBM SPSS statistic versions. 20 application of independent t.test to know the differences between experimental and control groups. After collecting and calculating data, tshe found that mean score and standard deviation of experimental group were 77.39 and 5.41, while mean score of control group was 70.22 and standard deviation was 13.1. In testing hypothesis, she used t-test formula. She found that F value =13.636, Sig (2-tailed)= 0.019 &lt; 0.05, at the level significance of df = 44. So, null hypothesis was rejected and the alternative hypothesis could be accepted. It means that students taught using multiple-slot substitution drill achieve better than students taught without using multiple-slot substitution drill.
Applying Mind Mapping Strategy in Fostering Students’ Writing Skill

This research was conducted to undertake students’ problems in writing skill dealing with the process to produce descriptive text in which there were 28 students of MTs Mambaul Ulum Banjarejo Pagelaran Malang. Regarding to the research design, Classroom Actin Research (CAR) was utilized. The research employed two cycles in which each cycle consisting of two meetings. Dealing with the instruments, test (preliminary and post-test) was applied to obtain data findings. Test covered pre-test and post that was used to investigate students’ prior writing skill score before and after teaching them by using mind mapping. In analyzing students’ writing skill, He utilized writing Scoring Rubric. Finding showed that in preliminary test, students obtaining a minimum mastery criterion (KKM) was 10,71%. It indicated that mostly students’ writing skill was under score minimum. Yet, for the first cycle, students obtaining a minimum mastery criterion was 42,85%. The first cycle showed an improvement of students' writing score. While for the second cycle, students obtaining a minimum mastery criterion was 75,00%. Finding underlined mind mapping was effectively in fostering students’ writing skill. Hence, this research highlighted and recommended mind mapping strategy should be applicated and utilized when teaching writing skill related to descriptive text exactly.
Language Maps from Africa to Europe

Language maps, which reflect linguistic pluralism, multilingualism and the spread of languages across countries and empires were part of an evolving human history. Historically, language came under the impact of geography, political conflicts and colonization. Due to these factors, languages penetrate borders or ended up in isolation or even in extinction. In this context, the paper investigates selected language maps of many African, Asian, European and South American countries in order to underline the connections between language, politics, immigration, war and other related elements. The paper argues that current language maps in some geographical regions are similar to the political maps of the nineteenth and early twentieth centuries because colonial languages continued to exist in these countries even after the departure of the colonizers. Further, the paper explores the spread of a variety of languages and their penetration in some countries, which constituted a great part of the European Union, in order to examine the impact of geo-politics on the changing status of language maps in Europe.
WATERMARKING FRAMEWORK FOR AUTHENTICATION AND SELF-RECOVERY OF TAMPERED COLOUR IMAGES

Due to the advances in computer-based communication and health services over the past decade, the need for image security becomes urgent to address the requirements of both safety and non-safety in all applications.Methods of authentication and self-recovery of tampered information in digital images have been in constant development during the last years.The proposed scheme locates image tampering as well as recovers the original image.A host image is broken into 4×4 blocks and LU is applied to figure out the transformation in the original image.Then generates the authentication watermarks, which are based on XOR operations on nonoverlapping blocks, subsequently by using a half toning technique the recovery watermark is generated.The proposed half toning technique coded in lower complexity and low power image processing capability of proposed framework.To evaluate the quality of the obtained images, the objective criterion of peak signal-tonoise ratio (PSNR) and Tampering ratio are used.The experimental results demonstrate the effectiveness of our method in comparisons with other schemes reported in the literature, where the quality of the watermark images, the quality of the reconstruction images and the recovery rate of each scheme were evaluated.
Head and Body Cues Guide Eye Movements and Facilitate Target Search in Real- Word Videos

Static gaze cues presented in central vision result in observer shifts of covert attention and eye movements, and benefits in perceptual performance in the detection of simple targets. Less is known about how dynamic gazer behaviors with head and body motion influence search eye movements and performance in more ecological perceptual tasks in real-world scenes. Participants searched for a target person (yes/no task, 50% presence) while watching videos of one to three gazers looking at a designated person (50 % valid gaze cue, looking at the target). We digitally manipulated videos to create three conditions of gazers: floating heads (only head movements), headless bodies, and the baseline intact. We show that valid dynamic gaze cues guided participants’ eye movements (up to 3 fixations) closer to the target, shortened the times to fixate within 2° of the target, reduced fixations to the gazers, and improved target detection. Gaze cue guidance was smallest when the gazer’s head was removed from the videos. Separate judgments estimating gaze showed that the reduced eye movement guidance from lower body cueing is related to observers’ difficulty extracting gaze information without the presence of the head. Together, the study extends previous work by evaluating the impact of ecologically relevant dynamic gazer behaviors on search with realistic cluttered videos.
Telling emissions apart in a multiphoton resonance: visualizing a conditional evolution

We find that the phase-space representation of the electromagnetic field inside a driven cavity strongly coupled to a two-level atom can be employed to distinguish photon emissions along a ladder of dressed states sustaining a two-photon resonance. The emissions are told apart by means of the different quantum beats generated by the conditional states they prepare. Sample quantum trajectories explicitly reveal the difference in the transient due to the initial condition, in a background set by the Jaynes-Cummings spectrum and revealed by the strong-coupling limit. Their ensemble-averaged evolution is tracked for a time period similar to that waited for the loss of a next photon as the maximum non-exclusive probability, indicated by the peak of the intensity correlation function.
OCCAM: Optimal Data Reuse for Convolutional Neural Networks

Convolutional neural networks (CNNs) are emerging as powerful tools for image processing in important commercial applications. We focus on the important problem of improving the latency of image recognition. CNNs' large data at each layer's input, filters, and output poses a memory bandwidth problem. While previous work captures only some of the enormous data reuse, full reuse implies that the initial input image and filters are read once from off chip and the final output is written once off chip without spilling the intermediate layers' data to off-chip. We propose Occam to capture full reuse via four contributions. (1) We identify the necessary condition for full reuse. (2) We identify the dependence closure as the sufficient condition to capture full reuse using the least on-chip memory. (3) Because the dependence closure is often too large to fit in on-chip memory, we propose a dynamic programming algorithm that optimally partitions a given CNN to guarantee the least off-chip traffic at the partition boundaries for a given on-chip capacity. Occam's partitions reside on different chips forming a pipeline so that a partition's filters and dependence closure remain on-chip as different images pass through (i.e., each partition incurs off-chip traffic only for its inputs and outputs). (4) because the optimal partitions may result in an unbalanced pipeline, we propose staggered asynchronous pipelines (STAP) which replicates the bottleneck stages to improve throughput by staggering the mini-batches across the replicas. Importantly, STAP achieves balanced pipelines without changing Occam's optimal partitioning. Our simulations show that Occam cuts off-chip transfers by 21x and achieves 2.06x and 1.36x better performance, and 33\% and 24\% better energy than the base case and Layer Fusion, respectively. On an FPGA implementation, Occam performs 5.1x better than the base case.
Sediment Properties and Provenance Study of Heavy Minerals Along Chinnavilai and Erayumanthurai Beach, South West Coast of India

The Chinnavilai and Erayumanthurai beach sediments of the Kanyakumari District consist of medium-grained, moderately well-sorted, unimodal, occasionally bimodal, mesokurtic, leptokurtic and platykurtic. The fine skewed and symmetrical nature of sediments implies the prevalence of high and low energy, entailing a mixed distribution of coarse and fine sediments. The washing and backwashing of waves cause the coarser sediments to retainment and entrapped amidst finer sediments. The heavy minerals distribution reflects that the less content in Erayumanthurai samples, whereas the Manavalakurichi, Enayam, Kurumpanai sediments comprise &gt;60%. The oval shape zircon is devoid of inclusions, whereas, the euhedral zircons comprise subhedral inclusions. Distinct fractures in zircons are caused due to transportation by waves and currents. The garnet and zircon grains are well-rounded, implying the source for these sediments are an admixture of medium to high-grade metamorphic rocks, reworked sediments, charnockite, and granite gneisses. Keywords : Sediment Texture, Provenance, Heavy Minerals, Kanyakumari,South West Coast of India
Proceedings of the 2022 Mathematics in Industry Study Group

This special Section of the ANZIAM Journal (Electronic Supplement) contains the refereed papers from the 2022 Mathematics in Industry Study Group (MISG2022) held at the University of Newcastle from 14--18 February 2022. This report provides the equation-free outcomes.
An Overview of E-Learning in Nursing Students at the Institute of Technology and Health Bali

For more than a year the teaching and learning process has changed patterns to online to avoid the increasingly widespread spread of the covid 19 virus. This certainly encourages students to be able to adapt to the teaching and learning process. Because of this change in learning model, facilities and infrastructure are needed as well as methods that resemble the face-to-face teaching and learning process. Many students find it difficult to participate in the online learning process due to various factors, both internal and external. to describe online learning for third-level nursing students at ITEKES Balli. This study uses a descriptive cross sectional design with a sample of students at ITEKES Bali semester VI. The type of sampling is total sampling. The analysis used is univariate analysis. The results of the study were 86 people (457%) said it was quite easy to understand the material, 78 people (41.5%) said it was enough to interact both with friends and with teachers, 76 people (40.4%) said the use of online learning methods was quite effective. and 90 people (47.9%) said they were quite independent during the online learning process. of all aspects studied in e-learning learning are classified as sufficient.
PENGARUH MEDIA AUDIO VISUAL TERHADAP PENGETAHUAN PELATIHPUSAT PEMBINAAN DAN LATIHAN OLAHRAGA PELAJAR (PPLP) KOTA PADANG TENTANG AVULSI GIGI

Introduction: Student Sports Training and Development Center (PPLP) is a forum for prospective athletes to develop their sports talents without neglecting their achievements in the academic field. Sports activities are one of the activities that are at risk of dental avulsion. Knowledge of dental avulsion was very important for a trainer. The purpose of this study was to determine the effect of audio- visual media on the knowledge of the West Sumatra PPLP trainers about tooth avulsion. Method: This research is quantitative pre- experimental research with one group pretest-posttest design. A total of 24 samples were used and measurements were made using a questionnaire. Results: The average knowledge of respondents before the intervention was 10.79 with a standard deviation of 2.340, the lowest knowledge score was 6 and the highest knowledge score was 14, the average knowledge of respondents after the intervention was 13.42 with a standard deviation of 1.585, the lowest knowledge score was 8 and the highest knowledge score is 15. Conclusion: There is an effect of audio-visual media as an educational medium on the level of knowledge of the Padang City PPLP trainers about the occurrence of dental avulsions.
Category and Depth Discrimination in Real-World Scenes

Visual understanding of real-world scenes is near-instantaneous. Humans can extracta wealth of information, including spatial structure, semantic category, and theidentity of embedded objects, from images viewed for fewer than 100 msecs. Visualprocessing has capacity limits, and, as a result, the computational processes thatunderlie this behaviour must be highly efficient. Computational theories of realworldscene perception model early image processing in various ways. In Chapter 1,I review these theories, and in Chapter 2, I review the role of depth cues in rapidvisual processing. This discussion reveals three problems: (i) Tests of the agreementbetween model predictions and human responses may be biased by the arbitrarychoice of category system, (ii) Current models posit that scene semantics isestimated from spatial structure properties, but empirical support for this position isinconsistent, and (iii) The time-course of depth estimation in real-world scenes ispoorly understood. To address these problems, three empirical papers are presentedin Chapters 3, 4, and 5. In Chapter 3, I propose and validate a novel clusteringalgorithm that can be applied to image databases to derive category systems forvisual experiments. In Chapters 3 and 4, I examine the relationship between spatialstructure and semantic information, and find little support for the position that spatialstructure properties inform semantic discrimination. In Chapters 4 and 5, Icharacterize the time-course of depth processing for images presented for &amp;lt;267msecs, and conclude that binocular disparity and elevation cues contribute to realworldperception shortly after image onset (&amp;lt;50 msecs). These findings are discussedtogether in Chapter 6. This thesis contributes to the evaluation of modern models ofreal-world scene perception, and helps to characterize how visual understandingunfolds over time.
Analysis of the Efficiency of Budget Planning at the Bandung City Fire and Disaster Management Service

The process that becomes an impediment in budget absorption is due to inadequate budget planning at the Bandung City Fire and Disaster Management Office, budget absorption varies and is still weak in carrying out efficiency. The goal of this study is to assess the Bandung City Fire and Disaster Management Departement efficiency in carrying out budget planning utilizing the dimensions of budget policy formulation and budget operational planning, and it can also be utilized as evaluation material in budget planning efficiency. The method used in this research is a qualitative approach and the type of research is descriptive. Primary and secondary data sources were used in gathering data utilizing a purposive sample strategy using information based on people who contribute information based on experience and expertise. The Miles and Hubberman approach was utilized in data analysis, comprising the steps of data reduction, data display, and generating conclusions. According to the findings of this study, the Bandung City Fire and Disaster Management Office's budget planning efficiency could not be optimized.
Explaining Unexpected Answers of SPARQL Queries

“Why am I not getting the right answer?" is a question many Knowledge Base users may ask themselves. In particular, novice users can easily make mistakes and find differences between the answer they expected and the answer they got. This problem is known as the unsatisfactory answer problem. A subproblem, where no answers are returned, has been widely studied and identifying failure causes can help users modify their queries to fit their requirements. But users may be unhappy with their results for multiple other reasons: they may be overwhelmed by too many answers, expect a particular answer that is not included, or even encounter a combination of these problems. In this paper, we classify the various types of unsatisfactory answers, and propose algorithms to compute generalized failure causes. We evaluate the performance of our algorithms and show that they perform comparably to existing problem-specific methods, while being more extensive.
Lung Cancer Subtyping from Gene Expression Data using General and Enhanced Fuzzy Min-Max Neural Networks

Cancer diagnosis using gene expression data is significant research for facilitating early treatment and prevention of cancer. The classification of gene expression data is challenging due to its high dimensionality and smaller number of samples that renders classification a difficult task. Creation of well-defined class boundaries is the aim of every classification algorithm. The Fuzzy min-max (FMM) neural network classifier is known to create good decision boundaries using hyperboxes constructed for each class. In this paper, we explore the General Fuzzy min-max (GFMM) and Enhanced Fuzzy min-max (EFMM) neural network architectures for the classification of lung cancer subtypes from microarray gene expression data. Both GFMM and EFMM are advanced versions of Simpson’s FMM neural network classifier. The GFMM is extremely efficient because it involves very simple operations for hyperbox manipulation, and can handle both labeled and unlabeled data. On the other hand, EFMM proposes three heuristic rules related to hyperbox expansion, contraction and the overlap test, which enhances the learning algorithm. We perform the classification of gene expression data using these two algorithms, then we analyze the performance by visualizing the hyperboxes obtained after training, and compare the accuracies of these classifiers. LASSO is used for selecting the important genes from the high-dimensional gene expression data. After the analysis of the results, we observe that EFMM with LASSO gives the best performance as compared to GFMM, FMM and other machine learning algorithms.
Counseling on Orderly Traffic from an Early Age for PAUD Shalsabila Education Pekanbaru Students

Pekanbaru City is a metropolitan city with a very dense traffic volume with a low level of discipline for road users. Violations of traffic signs often occur and a sense of care to comply with traffic regulations is still low, accidents often occur. As a result of undisciplined road users, it creates anxiety and worries about accidents. For this reason, it is necessary to conduct traffic safety education. Traffic counseling should be taught from an early age, where children are able to provide an understanding of good behavior in order to form a disciplined child character. The teaching method is adjusted to the age where the Shalsabila PAUD children are aged 2.5 - 5 years which is included in the category of Toddler and preschool age. The method used is made fun by telling stories, singing and playing. So they are very enthusiastic and happy. Most preschoolers begin to understand and can distinguish what can be done and what can't be done.