Reviewerly/exHarmony huggingface dataset:
View-Consistent Intrinsic Decomposition for Stereoscopic Images

In this paper, we focus on the intrinsic image decomposition problem for stereoscopic image pairs. The existing methods cannot be applied directly to decompose stereoscopic images, as it often produces inconsistent reflectance (albedo) and 3D artifacts after the decomposition. We propose a straightforward yet effective framework that enables a high-quality decomposition for stereoscopic pairs. First, retinex-based constraints are employed to coarsely classify the observed image gradients into two categories that are caused by reflectance changes and illumination variations, respectively. Second, reflectance-consistent constraints are added to control the reflectance consistency between the left and right views. Since this problem is highly ill-posed, we further analyze local and non-local image textures regularized by super-pixels within and across two views to reduce reflectance ambiguity. Lastly, absolute-scale constraints are employed to normalize the decomposition results. Extensive experiments on the real-world stereoscopic images and synthetic stereoscopic images reveal that our method can readily achieve high-quality decomposition performance.
An Improved Active Contour Method for Medical Image Segmentation using Singular Value Decomposition

An image segmentation method uses dynamic shape models (ACM) executed by methods for level set systems have been successfully used as piece of picture division. essential idea of ACM is to undeniably address shapes zero level game plan of higher dimensional level set limit, & figure progression of frame through improvement of level set.since they always produce sub-regions with continuous boundaries. However, traditional edge-based active contour models have been applicable to only relatively simple images whose sub-regions are uniform without internal edges. A partial solution to the problem of internal edges is to partition an image based on the statistical approach i.e. Information of image intensity measured and active contour model based on level set and Singular Value Decomposition may be applied to improve the efficiency and accuracy in poor quality images. In this paper an Improved Active Contour Method for medical image segmentation is based on active appearance models, active shape models, level set,PCA and Linear Discriminant Analysis are analyzed with intent to produce an inhomogeneous environment using SVD for segmentation of real world images in the presence of intensity in-homogeneity and noise.
Aloha Means Hello and Goodbye

RDS Editor Megan Conway reflects on the origins and 15 year history of RDS and her departure as Editor.  Aloha Means Hello and Goodbye by Megan A. Conway is licensed under a Creative Commons Attribution 4.0 International License. Based on a work at https://rdsjournal.org. Permissions beyond the scope of this license may be available at https://www.rds.hawaii.edu/.
Modeling lens optics and rendering virtual views from fisheye imagery

Production of high-quality virtual reality content from real sensed data is a challenging task due to several factors such as calibration of multiple cameras and rendering of virtual views. In this paper, we present a pipeline that maximizes the performance of virtual view rendering from an imagery captured by a camera equipped with fisheye lens optics. While such optics offer a wide field-of-view, it also introduces specific distortions. These have to be taken into account while rendering virtual views for a target application (e.g., head-mounted displays). We integrate a generic camera model into a fast rendering pipeline where we can tune intrinsic and extrinsic camera parameters along with resolution to meet the device or user requirements. We specifically target CPU-based implementation and quality in par with GPU-based rendering approaches. Using the adopted generic camera model, we numerically tabulate the required backward projection mapping and store it in a look-up table. This approach offers a tradeoff between memory and computational complexity in terms of operations for calculating the mapping values. Finally, we complement our method with an interpolator, which handles occlusions efficiently. Experimental results demonstrate the viability, robustness and accuracy of the proposed pipeline.
The Effect of Reward toward Students’ Motivation in learning English structure at Kampung Inggris Rafflesia Rejang Lebong

Abstract The aimed of this research was to find out the effect of reward toward students’ motivation in Learning English structure at Kampung Inggris Rafflesia Rejang Lebong. It created in quantitative design as a quasi- experimental research. The population of this research was all senior high school graders (they were three classes) and two classes as the sample, the E1 as control class and E3 as experimental class. The techniques of data collecting were pre-test and post-test and supported by questionnaire. The results were taken from post-test that consist of five aspects, they were total score, highest score, lowest score, mean score, and standard deviation. Based on the final result of the five aspects above, the researchers found that reward gave effect for the students’ motivation in learning English structure. It was also could be seen from the results of questionnaire, they felt enjoy, fun and enthusiasm during the teaching-learning were held.
Composition of Lipids from Lignite Deposits of the Far East: Relations to Vegetation and Climate Change During the Cenozoic

Preview this conference paper: Composition of Lipids from Lignite Deposits of the Far East: Relations to Vegetation and Climate Change During the Cenozoic, Page 1 of 1 < Previous page | Next page > /docserver/preview/fulltext/2214-4609/2019/O78-1.gif
Focused light field camera for depth reconstruction model

The light field camera with spatial multiplexing configuration enables to capture 4-dimensional data on 2-dimensional sensor. It creates 2D array of 2D images on a single sensor. Once certain conditions are fulfilled, it is possible to reconstruct the depth with single light field camera. Such measurement method has several advantages as well as several disadvantages. Currently, the most important problems are narrow measurement area and low light intensities. To overcome these obstacles, we propose augmented focused light field camera model which contains vignetting and image overlapping features included. The model is based on 2D ray tracing technique with first order optics and thin lens approximation. In this article, we state several properties which should be sufficient for the light field optical system design for depth reconstruction. This allows to describe every light field system configuration containing main lens, microlens arrays, stops and a sensor.
WEBSITE SEKOLAH UNTUK MENUNJANG PENERIMAAN PESERTA DIDIK BARU DI SMP MUHAMMADIYAH 10 SURAKARTA

One of the main problems faced by SMP Muhammadiyah 10 Surakarta is how to attract new students to register. Manual promotion based on leaflets and brochures currently used by the school is among the root of problems that make school only recognized by the society around the school in the restricted geographical area. Another obstacle for the community is the manual registration process for new students, which require the prospective student to come to the school. In this publication, internet technology was proposed to solve these two problems. The objectives of the community services are to widen the promotional scope of SMP Muhammadiyah 10 Surakarta and to enable the prospective student to register online via the school website. The activities of the community services are involving purchasing a web domain for school standard, hosting the website, training for administrator, and evaluation from the society. The results of the community services include school website, and the teacher has been trained as an administrator. Assessment from the society results showed that 74.68% of respondents provided positive feedback that the site is satisfying and beneficial. Keywords: PPDB online, school, website
Holt Library: Early Childhood Education: Graphic Novels

Learn about child growth and development, nutrition, physical development, and communication skills and to foster the cognitive, physical, social, and creative development of young children.
Data Security Using Certificateless Signature Cryptosystem

This paper proposes a novel attack detection mechanism, using the trajectory of Arbitrator for identification while still preserving their location privacy communication. A location-hidden authorized message generation scheme is designed for two objectives: first, signaler signatures on messages are signer ambiguous so that the signaler location information is concealed from the resulted authorized message; second, two authorized messagess signed by the same signaler within the same given period of time ( temporarily linkable) are recognizable so that they can be used for identification. Optimistic fair exchange (OFE) protocols are useful tools for two participants to fairly exchange items with the aid of a third party who is only involved if needed. A widely accepted requirement is that the third party’s involvement in the exchange must be transparent message, to protect privacy and avoid bad publicity. At the same time, a dishonest third party would compromise the fairness of the exchange and the third party thus must be responsible for its behaviors. This is achieved in OFE protocols with another property called accountability. It is unfortunate that the accountability has never been formally studied in OFE since its introduction ten years ago. In this paper, these gaps are filled by giving the first complete definition of accountability in OFE where one of the exchanged items is a digital signature and a generic (also the first) design of OFE where transparency and accountability coexist
Discussion: A Spatial Modeling Approach for Linguistic Object Data: Analysing Dialect Sound Variations Across Great Britain, by Shahin Tavakoli et al.

"Discussion: A Spatial Modeling Approach for Linguistic Object Data: Analysing Dialect Sound Variations Across Great Britain, by Shahin Tavakoli et al.." Journal of the American Statistical Association, 114(527), p. 1102
SISTEM INFORMASI PENJUALAN BERAS PADA PT FAJAR BUKIT OLAT OJONG SUMBAWA BERBASIS DESKTOP

PT. Fajar Bukit Olat Ojong or known as 69 rice. There are many weaknesses in data processing that are running, such as presenting rice sales data, which takes quite a long time and sometimes delays in data searches that result in slow reporting and warehouse stock and computer differences. This study aims to build a Desktop-based information system, an information system for Rice Sales at PT. Fajar Bukit Olat Ojong Sumbawa. This system was developed using the Delphi programming language by using MySql as a database. Software development methods using the Waterfall Model. Software testing is done through black-box testing, data collection techniques in research using literature, observation and documentation. The purpose of making this system is to provide solutions by designing desktop-based applications so that it can help improve performance in rice sales and report making.
The Mediating Effects of Job Satisfaction and Moderating Effects of Trust in Supervisor on the Relationship between Workplace Learning Perceived by Casino Employees and Organizational Commitment

The purpose of this study was to determine the mediating effects of job satisfaction and moderating effects of trust in supervisor on the relationship between workplace learning and organizational commitment in casino employee. The major finding of this study were as follows: First, the higher the perception of workplace learning, the higher organizational commitment. Second, job satisfaction had a partially mediating effect on workplace learning and organizational commitment. Third, as the result of verifying the moderating effect of trust in supervisor in the relationship between workplace learning and organizational commitment, it was found that trust in supervisor did not effect of moderator. The study illuminates discussion that company should not only support workplace learning but also improve work environment, organization culture, and so on. Moreover, according to creating collaborative learning culture based on trust in organization, workplace learning will be expressed effectively to organizational commitment and organization should support employees’ voluntary and continuous learning.
More than a feeling…

Emojis have become a key part of how we interact using technology and present lots of potential for learning. Judith Harries suggests we embrace this new form of communication to help children recognise their own and others' feelings.
Image stitching by creating a virtual depth

A method for image stitching is presented. The approach focuses on images with parallax (depth variation) to create panoramic views with high fidelity. The approach creates the stitching seam at a virtual depth to convert hard stitching problems to simple ones. The virtual depth is created by applying local distortions to the input images at the stitching seam so that the contents visually appear to be located at the same depth. The presented approach targets a wide variety of applications that require generating high (or super) resolution, wide-view images. These applications include tele-presence (or tele-reality) applications such as shopping, touring, conferencing, planning or architecting, learning, inspection, and surveillance. Our results show that the proposed approach provides promising results compared to commercial products that rely on stitching solutions.
Implication of Employees in Security Policies Definition

A way of awareness is to involve employees in part of the definition of security policies. The purpose of this approach is not to reduce the level of security required and defined by the policies but to consider when it is possible and applicable their comments. In this case, employees accept more easily the application of policies as they have “participated”. Then, the policies should be present to employees during interactive sessions with real cases of security breach, figures, and statistics to illustrate the risks. The benefits of these presentations are to show to employees that risks are not only theoretical and it can really happen. The purpose of this document is to provide guidance on how to create more cybersecurity awareness, topic handled by the CyberEDU in February 2019. This paper presents the implication of employees across the life cycle of the security policies based on the PDCA (Plan-Do-Check-Act) model. The document will address the definition of Information Security Policy (ISP) as well as topic-specific policies and the involvement of the Top Management and employees.
Correlation Visualisation for sleep data analytics in SWAPP (Sleep Wake Application)

Sleep plays an important role in the overall health and wellbeing of a child. The relationship between sleep and daytime behaviours of children with neurodevelopmental disorders is understood poorly; different aspects of a child&#x2019;s routine may interact with each other to contribute to sleep disorders. In order to diagnose, monitor and successfully treat many medical conditions pertaining to sleep, it becomes imperative to analyse the many aspects of a child&#x2019;s daytime and sleep behaviours. In this paper, we propose a visual analytic tool for studying the interaction of different variables collected for a child with neurodevelopmental disorders. We propose a visual analytic tool which allows clinicians to explore how the different aspects of a child&#x2019;s behaviour and activities affect their sleep. This tool is developed as an extension of an existing tool SWAPP, which allows caregivers and clinicians to log and monitor the child&#x2019;s everyday data.
Proses Morfologis pada Teks Laporan Hasil Observasi Siswa Kelas VII B SMP N 1 Kedawung di Kabupaten Sragen Tahun Ajaran 2018/2019

The purpose of the research is to identify the types of morphological processes and the use of affixes, reduplication, and compounding on the text of the observation report made by Grade VII B students of SMP Negeri 1 Kedawung. The type and design of this research is descriptive qualitative. The data of this study are the words in the text of the observation report made by students of class VII B SMP N 1 Kedawung Sragen district. The data source in this study is a document in the form of writing by VII VII grade students of SMP Negeri 1 Kedawung. Data collection techniques using documentation and data analysis techniques using the analysis of the collection. Data validation uses the theory triangulation technique. The results of this study are (1) there are morphological processes in the form of affixation, reduplication and compounding, and some texts that do not have a morphological process in the form of reduplication. (2) there are affixations in the form of confixes (the term, me-i, se-it, role, role, message, right, and play), prefixes (me, berm, pre-, di-, and ter-.) and suffixes (-an, -i, -wan, and -nya). The researcher also found the morphological process of reduplication in the form of repetition of all basic forms without phoneme and affixation variation, repetition with affixation or affixation, and partial repetition. In addition, researchers also use the morphological process in the form of composition or compounding (compositeum) which includes compound words based on properties (endocentric compound words), compound words based on meanings (fair compound words and figurative compound words), compound words based on composition (compound compounds). There is also the use of compound words according to Mees, namely deternative compound words (determining), possessive compound words (belonging).
Foreground-Aware Statistical Models for Background Estimation

Video-based detection of moving and foreground objects is a key computer vision task. Temporal differencing of video frames is often used to detect objects in motion, but fails to detect slowmoving (relative to the video frame rate) or stationary objects. Adaptive background estimation is an alternative to temporal frame differencing that relies on building and maintaining statistical models describing background pixel behavior; however, it requires careful tuning of a learning rate parameter that controls the rate at which the model is updated. We propose an algorithm for statistical background modeling that selectively updates the model based on the previously detected foreground. We demonstrate empirically that the proposed approach is less sensitive to the choice of learning rate, thus enabling support for an extended range of object motion speeds, and at the same time being able to quickly adapt to fast changes in the appearance of the scene.
Validity Of Existing Energy Expenditure Prediction Algorithms Using Wearable Devices For Wheelchair Users

This study aims to validate the accuracy of predictive Energy Expenditure equations which are based on Actigraph activity monitors worn on the wrist of Manual Wheelchair Users with Spinal Cord Injury.
Patch-based image despeckling using low-rank Hankel matrix approach with speckle level estimation

In this study, we propose an image despeckling method based on low-rank Hankel matrix approach and speckle level estimation. Annihilating filter-based low-rank Hankel matrix, so called ALOHA approach is very useful to various areas, such as image inpainting and impulse noise reduction. The proposed method utilizes this approach because it provides high performance in completing irregularly subsampled images. Speckled image are subsampled using patch-based speckle level estimator which selects pixels with low speckle level and abandon the others. The subsampled image is reconstructed using low-rank structured matrix completion. Our experimental results demonstrate that precisely estimated speckle level improves despeckling performance significantly. The accuracy of the proposed speckle estimator validates better despeckling performance of the proposed method compared with conventional despeckling methods.
Real-time 3D volumetric human body reconstruction from a single view RGB-D capture device

Recently, volumetric video based communications have gained a lot of attention, especially due to the emergence of devices that can capture scenes with 3D spatial information and display mixed reality environments. Nevertheless, capturing the world in 3D is not an easy task, with capture systems being usually composed by arrays of image sensors, which sometimes are paired with depth sensors. Unfortunately, these arrays are not easy to assembly and calibrate by non-specialists, making their use in volumetric video applications a challenge. Additionally, the cost of these systems is still high, which limits their popularity in mainstream communication applications. This work proposes a system that provides a way to reconstruct the head of a human speaker from single view frames captured using a single RGB-D camera (e.g. Microsoft?s Kinect 2 device). The proposed system generates volumetric video frames with a minimum number of occluded and missing areas. To achieve a good quality, the system prioritizes the data corresponding to the participants? face, therefore preserving important information from speakers facial expressions. Our ultimate goal is to design an inexpensive system that can be used in volumetric video telepresence applications and even on volumetric video talk-shows broadcasting applications.
Reading Habits, Grammatical Knowledge, Creative Thinking, and Attainment in Academic Writing: Evidence from Bengkulu University, Indonesia

This study aims to establish whether any correlation exists between (1) students’ reading habits, (2) knowledge of grammar, (3) creative thinking, and (4) academic writing. This study assessed 69 students from the English Department at the Faculty of Teacher Training and Education Sciences (FKIP), Bengkulu University, Indonesia, with them being selected through proportional random sampling as subjects for the study. A survey with test and questionnaire techniques was employed to collect data, which was then analyzed through multiple regression and correlation analysis. The results of the analysis suggest that positive correlations exist between (1) students’ reading habits and learning outcomes for academic writing, (2) knowledge of grammar and learning outcomes for academic writing, (3) creative thinking and learning outcomes for academic writing, and (4) students’ reading habits, knowledge of grammar, and creative thinking on the one hand, and student’s learning outcomes for academic writing on the other hand.
Fish-eye camera calibration using horizontal and vertical laser planes projected from a laser level

A practical approach to calibrate a fish-eye camera by using horizontal and vertical laser planes projected from a laser level is proposed. The approach does not need to use camera parameters, scene information, and calibration objects in the scene. Instead, only an off-the-shelf laser level is utilized to cast the laser planes toward the scene to generate image features for the calibration based on the principle of projective geometry. With proper alignment of laser level, smooth laser curves can be obtained in the fish-eye image, and the principal center of the camera can be found by intersecting two straight laser lines in the fish-eye image. Other curved laser lines can then be used to measure the calibration data for the correction of radial distortion. Experimental results demonstrate that satisfactory calibration can be achieved by using the proposed method.