Reviewerly/exHarmony huggingface dataset:
Surveillance Footage Video Tampering Detection

The quality of the captured images was enhanced by some of the first digital video and image processing applications, but as the power of computers expanded, so did the number of applications where video and image processing could make a difference. Video and image processing are used in many different applications nowadays. To provide authenticity to a video several video processing software’s are used. Video tampering detection is the one of the important Security applications. Video processing software is also used to eliminate specific moving foreground from a video. But algorithms which were proposed earlier find it difficult when it comes to a video with complex background. So, in this paper an attempt is made to overcome those problem, the video foreground elimination is done by using a novel forgery detection algorithm. It is found that this method is effective when compared to the other algorithms.
Anticipatory Risk Analytics for Global Response on the Containment of COVID-19

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Associated Advantages and Challenges of Augmented Reality in Educational Settings: A Systematic Review

As a novel technology, Augmented Reality (AR) has gained a lot of attention in the education sector. Augmented reality in the education field offers new ways of learning and teaching. Augmented reality eliminates the gap between the real world and the virtual world. Regardless of the increasing number of studies in the augmented reality area, there is still a lack of studies that integrate and synthesize this body of knowledge. Therefore, this study aimed to conduct a systematic literature review to gain insights into existing empirical studies of AR and understanding the current state of research regarding AR in education. From the review of the studies, we recognized 40 primary studies focusing on AR in the education field. The results of this study disclose a growth in the number of augmented reality studies during the last three years. Moreover, several challenges and numerous advantages of using augmented reality technology in the educational setting were extracted and discussed. The results of this study can help scholars by providing a roadmap of augmented reality technology and highlighting guidelines for the successful implementation of the augmented reality systems in educational settings.
2D and 3D U-Nets for skull stripping in a large and heterogeneous set of head MRI using fastai

Skull stripping in brain imaging is the removal of the parts of images corresponding to non-brain tissue. Fast and accurate skull stripping is a crucial step for numerous medical brain imaging applications, e.g. registration, segmentation and feature extraction, as it eases subsequent image processing steps. In this work, we propose and compare two novel skull stripping methods based on 2D and 3D convolutional neural networks trained on a large, heterogeneous collection of 2777 clinical 3D T1-weighted MRI images from 1681 healthy subjects. We investigated the performance of the models by testing them on 927 images from 324 subjects set aside from our collection of data, in addition to images from an independent, large brain imaging study: the IXI dataset (n = 556). Our models achieved mean Dice scores higher than 0:978 and Jaccard indices higher than 0:957 on all tests sets, making predictions on new unseen brain MR images in approximately 1.4s for the 3D model and 12.4s for the 2D model. A preliminary exploration of the models’ robustness to variation in the input data showed favourable results when compared to a traditional, well-established skull stripping method. With further research aimed at increasing the models’ robustness, such accurate a
The Effect of The Migration Time on The Parallel Particle Swarm Optimization Algorithm

The particle swarm optimization algorithm is a population-based algorithm used to solve optimization problems. In recent years, a parallel version of the PSO algorithm has proposed to solve complex application problems, and the situation has become the focus of researchers. Communication in this approach is ensured by the migration of particles between sub-population. In the parallel version of the PSO algorithm, parameters such as migration strategy, migration period, the topological structure must be determined. In this study, it was analyzed in which periods it would be more appropriate to perform migration procedures. In this context, the maximum number of iterations of 10000 is divided into three period intervals: 1000-3000, 3000-6000 and 6000-9000. Then, for cases where the number of threads is 2 and 4, the migration process is analyzed over these periods.
High-Quality 3D Reconstruction from Low-Cost RGB-D Sensors

This thesis explores the reconstruction of high-quality 3D models of real-world scenes from low-cost RGB-D sensors. Firstly, we propose a method for obtaining sharp model textures that uses super-resolution keyframe fusion for texture mapping. Secondly, we present a joint surface geometry and appearance optimization approach to recover fine-scale geometry and consistent surface colors. Finally, we introduce a method for correcting large-scale 3D reconstructions on-the-fly on pose graph updates.
Mapping water inundation and inundated landuse which will formed due to development of Karian dam, Ci Berang Sub-Basin, Lebak Regency, Banten Province

Abstract Overpopulation and development in Java Island have caused changes in land use from productive into non-productive land. One of the changes occurring in Indonesia is the development of the Karian Dam as a Multi-Purpose Dam in the Ci Berang Sub-Basin. This study aims to determine the area of inundated water will covering land use and many villages caused by the construction of Karian Dam. The dam was started the construction in the year 2015 and will complete in the year 2019. The variables used in this study is the elevation of inundated water and the land use of the Ci Berang Sub-Basin. The data for inundated are water level at minimum, normal, and maximum, which combined with digital elevation model (DEM). The research used the landcover data generated from Landsat 8 OLI. The results explained that the Ci Berang Sub-Basin area would be affected by the inundated water is 1,479 Ha. The changes caused by the water inundation will affect the land use in the northern area of Ci Berang Basin those are shrubs, wetlands, plantations, and urban areas more than 54.57 Ha and vacant lots 16,14 Ha. The land use, which has the highest area of inundated water coverage was shrubs 53 % and wetlands 22 %. The inundated water caused many villages covered by water with the highest land use change was Tambak Village with 335.48 Ha, and the lowest was Sindangsari Village with 3.73 Ha.
Deeper SSD: Simultaneous Up-sampling and Down-sampling for Drone Detection

Drone detection can be considered as a specific sort of small object detection, which has always been a challenge because of its small size and few features.For improving the detection rate of drones, we design a Deeper SSD network, which uses large-scale input image and deeper convolutional network to obtain more features that benefit small object classification.At the same time, in order to improve object classification performance, we implemented the up-sampling modules to increase the number of features for the low-level feature map.In addition, in order to improve object location performance, we adopted the down-sampling modules so that the context information can be used by the high-level feature map directly.Our proposed Deeper SSD and its variants are successfully applied to the self-designed drone datasets.Our experiments demonstrate the effectiveness of the Deeper SSD and its variants, which are useful to small drone's detection and recognition.These proposed methods can also detect small and large objects simultaneously.
CILS EXAM (Certification of Italian as a Foreign Language)

CILS (Certification of Italian as a Foreign Language) The Certification of Italian as a Foreign Language (Certificazione di Italiano come Lingua Straniera or CILS) is a qualification offered by the Foreigners University of Siena for foreign speakers of the Italian language, recognizing various levels of language proficiency.
Cloud-based Security Solutions

Cloud computing is an entirely new archetype that overtures a non-traditional computing model for organizations to espouse Information Technology without incurring any upfront investment and with nominal Total Cost of Ownership (TCO). Cloud Computing is the new wave of technology and the favorite buzz word which the corporate world utters every now and then. Cloud computing unlocks the doors to multiple, infinite venues which include upscaling and downscaling the resources in no time and pay as you go model (that says pay to them based upon the usage). Even with the potential advantages attained from cloud computing, the security of the booming technology is under questions which may impact the cloud adoption. Based on several attacks and vulnerabilities took place in recent times and posted by several cloud providers, the more intense observation about Cloud Security Research has started to grow and to find out the probable ways to defend such attacks. There must be appropriate technical enforcement and verifiable accountability with appropriate security policies and measurement with compliance driven audits to generate a sense of urgency to control the Cloud Security.
Nominal and Pronominal Referring Terms in Speech of an Arabic-English Bilingual Child: A Case Study

This study was designed to trace the developmental path of the nominal and pronominal referring systems in the production of an English-Arabic bilingual child. The child’s spontaneous speech was recorded and data were analyzed. Data sets were clustered into 5 age spans starting from 1;9 to 3;9. The study was conducted under the framework of the semantic complexity hypothesis embedding 3 psychological principles of acquisition (i.e., ease of observability of referent, meaningfulness of referent, and distinctiveness of the sound signal that indicates the referent). The person-role hypothesis was also used as a framework to explain the development of the pronoun systems of both languages. Findings provide further evidence for the early advantage of nouns as referring expressions. They also reveal the early emergence of nouns with concrete referents as well as nouns of meaningful referents. These findings confirm the importance of the person-role hypothesis in the sequence of acquiring pronominal referring expressions.
Pengembangan Media Pembelajaran High Stage Game Story Of Indonesian Kingdom Untuk Siswa Sekolah Dasar

This research is based on the need for educational game learning media related to the history of the Hindu Buddhist kingdoms and the Islamic kingdoms in Indonesia. Where the teaching materials have not linked with existing history, they are more fixated on historical reading or stories and questions so students tend to memorize or look at historical reading or stories when working. The purpose of this study was to determine the feasibility, practicality and response of students through the educational game High Stage Story Of Indonesian Kingdom. This type of research is development research using the ADDIE model, namely: analysis, design, development, implementation and evaluate. Data analysis used qualitative data and quantitative data. The result of the feasibility assessment of this module is the assessment of the three validators obtaining an average score of 83.0% which is categorized as very feasible. The practicality assessment results obtained a score of 87.0% which is categorized as very practical. The results of the student response assessment obtained a score of 88.0% with very attractive criteria. It was concluded that the development of the High Stage Story Of Indonesian Kingdom educational game was classified as very feasible, very practical, and interesting to use for teaching and learning.
Dissociation and interference in composers’ stories about music: the renewal of musical discourse

A generation ago, Philip Agre responded to a discourse-gap in his own area of artificial intelligence (AI) with an approach he termed Critical Technical Practice (CTP) (Agre 1997a). I will show how composition (in the broad sense described above) has much in common with the computational design Agre was discussing, and that the CTP he proposed might provide important indications for the development of more common, constructive and critical discourse in and around the creation of music.
Estrategia educativa en tiempos de Covid19: modalidad de webinar en comunidades de Manabí

The objective of this study is to develop educational strategies under the virtual modality through webinars in communities of Sucre and San Vicente as an academic instrument to strengthen the teaching and learning activity of students and the population on current issues to face the consequences of Covid19. The review of bibliographies on the subject agreed to define the structure of the webinar to achieve high levels of acceptance in the population. In the qualitative approach, it was used as a technique to determine the criteria of the participants and the report of experiences during the development of the activity. In the quantitative approach, the survey technique was used, which collected the perception and assessment of those attending the conferences held.
Applying the Prototype Model into the Electronic Reporting System for the Elementary School Student Base on Android

Teaching and learning is an activity that is bound by goal directed and carried out specifically to achieve that goal. Because it is very important to seek knowledge for a bright future. Supervision of students by the guardians of the students made the results of their children's achievements not improving. As well as student assessment by the teacher is still not well managed because it is still in the form of a note report. The system method used is the Prototype model. With observation and direct interviews with the student section regarding the assessment system in the school where the author researched. The results of this study are applications that can be operated on an Android Smartphone. This application can provide fast information and update automatically in obtaining information on student learning outcomes.&#x0D; &#x0D; &#x0D; &#x0D;
AN ANALYSIS OF CULTURAL VALUES IN ENGLISH TEXTBOOK ‘BAHASA INGGRIS’ (A TEXTBOOK FOR SMA/SMK GRADE XI)

ABSTRACT Name: Auliana Rahmah Student No. : 1309200080024 Department/Program : English Education/Graduate Title: An Analysis of Cultural Values in English Textbook ‘Bahasa Inggris’ (A textbook for SMA/SMK Grade XI) Keywords: Analysis, cultural values, English textbook Textbooks are very important parts in teaching and learning process. They play important role to provide valuable inputs in exposing students to cultural expressions and diversity of cultures. This research is aimed at investigating and describe the cultural values of English Textbook ‘Bahasa Inggris’ published by Kemendikbud by analyzing texts and visual images material based on seven elements of culture proposed by Brown (2001). To analyze the data, the researcher used descriptive qualitative analysis. The data of the research were collected from texts and visual images in the English textbook for senior high school entitled ‘Bahasa Inggris’.To reveal what cultural values are represented in the textbook, the cultural elements are categorized into Social Organization, Custom and Tradition, Language, Religion, Art and Literature, Form of Government, and Economic System. The result obtained was the content of Indonesian culture that accommodating Indonesian students. Furthermore the most frequent element appear in eleven texts and eight visual images being analyzed is Custom and Tradition which found nine times, continued by Art and Literature found seven times, Economic System found six times, Language found three times, as well as Social Organization and Form of Government. The least frequent element appears is Religion; twice. Finding that only thirty three times of the placement of culture elements appeared in the two books, realizing that improvement of cultural content in English textbooks for Senior High School is needed. On the basis of this findings the students, teachers, and author of the book are recommended to pay more attention on adding cultural content in order to have communicative competence of culture.
Spatio-Temporal Graph Scattering Transform

Although spatio-temporal graph neural networks have achieved great empirical success in handling multiple correlated time series, they may be impractical in some real-world scenarios due to a lack of sufficient high-quality training data. Furthermore, spatio-temporal graph neural networks lack theoretical interpretation. To address these issues, we put forth a novel mathematically designed framework to analyze spatio-temporal data. Our proposed spatio-temporal graph scattering transform (ST-GST) extends traditional scattering transform to the spatio-temporal domain. It performs iterative applications of spatio-temporal graph wavelets and nonlinear activation functions, which can be viewed as a forward pass of spatio-temporal graph convolutional networks without training. Since all the filter coefficients in ST-GST are mathematically designed, it is promising for the real-world scenarios with limited training data, and also allows for a theoretical analysis, which shows that the proposed ST-GST is stable to small perturbations of input signals and structures. Finally, our experiments show that i) ST-GST outperforms spatio-temporal graph convolutional networks by an increase of 35% in accuracy for MSR Action3D dataset; ii) it is better and computationally more efficient to design the transform based on separable spatio-temporal graphs than the joint ones; and iii) nonlinearity in ST-GST is critical to empirical performance.
CUNI Systems for the Unsupervised and Very Low Resource Translation Task in WMT20

This paper presents a description of CUNI systems submitted to the WMT20 task on unsupervised and very low-resource supervised machine translation between German and Upper Sorbian. We experimented with training on synthetic data and pre-training on a related language pair. In the fully unsupervised scenario, we achieved 25.5 and 23.7 BLEU translating from and into Upper Sorbian, respectively. Our low-resource systems relied on transfer learning from German-Czech parallel data and achieved 57.4 BLEU and 56.1 BLEU, which is an improvement of 10 BLEU points over the baseline trained only on the available small German-Upper Sorbian parallel corpus.
IMPLEMENTATION OF THE ALUMNI INFORMATION SYSTEM OF SMA NEGERI 1 PILANGKENCENG BASED ON WEBSITE

Abstract: This study aims to support the ease in managing alumni at SMA Negeri 1 Pilangkenceng, so we need an online website-based alumni data management. This research is a research that uses the Waterfall method, in which the researcher analyzes the needs, plans the system, tests and evaluates the program that has been made. Considering the current rapid technological development, we need a breakthrough to minimize the occurrence of human error and accelerate the process of inputting data and data output by creating an alumni website. In addition, this research can provide better benefits in SMA N 1 Pilangkenceng related to the alumni data collection process . With this website-based Alumni Information System, the alumni data collection process can be done digitally so that it is more efficient and effective because alumni data collection can be done without having to visit the related school. Keywords : Alumni Data Management, Alumni Website, SMA N 1 Pilangkenceng
LibGuides: LSC 504:Baby Story Time: Tools for Reading to the Wee Ones.: Sample Story Time

Reading and providing quality programming to your youngest patrons is quite the task: however, with the proper tools, you will be able to provide your wee patrons with many wonderful story time experiences and a lifetime love of reading. A sample of one of my Wiggly Wednesday Programs.
Explorative study towards supporting dredger's control work by HoloLens

The worldwide company named Royal IHC proposed this graduation project. Royal IHC is a reliable supplier of dredge vessels. Trailing suction hopper dredger (TSHD) is one of the company’s main products for port maintenance. A dredge operator is doing all the dredge control task in the dredge operator cockpit. The human-machine interface (HMI) of the dredge operator cockpit is developed on a perpetual basis. The system become more and more complex. Therefore, novice operators need to spend longer time in training in order to be fully efficient. The latest interface technology augmented reality has attracted attention. Royal IHC is interested in head-mounted devices, especially HoloLens. Royal IHC sees the potential of HoloLens in terms of supporting the control tasks of dredge operators, but this assumption still needs to be proven by operational research. Therefore, the essence of this project is an explorative study, which is targeted to discover if there are possibilities of HoloLens to support dredge control work of novice operators. After technology research and user research, some tasks are selected and concpets are created.The core of the concepts is to extract this information and provide it in a more user-friendly way. The operator can then directly see the essential information through the HoloLens and will not be disturbed by other information, which is not relevant at the moment. The operator does not need to switch attention between screens and real world either. However, there are two different perspective for this concept: the first person’s perspective and the third person’s perspective.The concepts were tested with IHC employees and students. It is found that: Compared with the current system, HoloLens applications can give the information in a more straightforward way. Compared with the current system, simplified signals with its spatial property in HoloLens applications are easier to understand. Thus, compared with the current system, HoloLens applications require less workload. With the third person’s perspective, operators could have a more transparent overview of the situation than with the first person’s perspective. It is more easily for novice operators to learn the use of HoloLens applications than people without any dredge knowledge.
The impact of neoliberalism on academics and students in higher education

In adopting neoliberalism, higher education institutions may view students as consumers rather than learners. This sits uncomfortably with humanistic and critical teaching philosophies which view learning as contextualised within a caring environment. In this environment, students become effective, lifelong learners who can contribute to a better society. However, although humanistic educational philosophies, such as Vygotsky’s social-constructivist approach and Freire’s pedagogy of care appear to resonate with academics and students, we argue that neoliberalism and its associated issues are predominant in higher education. This paper discusses the effects of neoliberalism in higher education. It outlines the financial, economic and psychological toll on both students and academics in a climate of increasing casualisation of the workforce and loss of employment; factors which not only impact on students and academics but also on the viability of universities themselves. Finally, we suggest that higher education institutions and universities emphasise alternative philosophies that nurture and support higher education students and their learning.