Reviewerly/exHarmony huggingface dataset:
Hybrid FAST-SIFT-CNN (HFSC) approach for Vision-Based Indian Sign Language Recognition

Indian Sign Language (ISL) is the conventional means of communication for the deaf-mute community in the Indian subcontinent. Accurate feature extraction is one of the prime challenges in automatic gesture recognition of ISL gestures. In this paper, a hybrid approach, namely HFSC, integrating FAST and SIFT with CNN has been proposed for automatic and accurate recognition of ISL's static and single-hand gestures. Features from accelerated segment test (FAST) and scale-invariant feature transform (SIFT) provides the basic framework for feature extraction while CNN is used for classification. The performance of HFSC is compared with existing sign language recognition approaches by testing on standard benchmark (MNIST, Jochen-Trisech, and NUS hand posture-II) datasets. The HFSC algorithm's efficiency has been shown by comparing it with CNN and SIFT_CNN for a uniform dataset with an accuracy of 97.89%. Furthermore, the Computational results of the HFSC on complex background dataset achieve comparable accuracy of 95%.
Sistem Lapor Dini Bencana Kebakaran Berbasis Mobile di Kota Bitung

Abstract—Fire is one of the disasters that comes difficult to predict, aside from being unwanted by the community, it is also often difficult to control if the fire already becomes large. As for the obstacles that often occur, firefighters are late getting fire reports and also difficulty in finding the location of fires due to lack of information. system development is done by the writer in this study using the Waterfall model (Presmann, 2010). system modeling is documented using DFD (Data Flow Diagrams). The results of this study are a mobile-based early fire disaster detection system with several features to overcome community problems in reporting a fire disaster and help firefighters to get an accurate location and the fastest route to the fire location.
Mphoto Photography Tutorial Application

Mphoto Photography Tutorial Application is developed to solve the learning problems in mobile photography. It is aimed to design a platform for young generation who interested in mobile photography to learn photography. Platform used in this project is Android Studio and Firebase. This application contains various functions such as login, register; view or watch tutorial; create, view, update, delete the post; label or score photo; view, edit the personal information and chat with other users. The methodology used in this project is Object-Oriented Software Development (OOSD). This application enables the target users to have a platform to learn, to interact and to involve in photography.
Audio Detection for Preparation of Video Rate Controller

Modern video streaming may use the protocol H.264 to encode video in high quality. The protocol takes advantage of similarities between consecutive frames to lower the bit rate. If there are differences between frames the bit rate will therefore rise. To control the fluctuations in bit rate a rate controller (RC) can be used together with the encoder. The RC manages the quantisation levels of the encoder. Rapid unforeseen changes may require the RC to drastically increase the quantisation parameter (QP) or even skip frames. This paper evaluates if audio event detection can be used to prepare the RC for incoming changes by creating a warning signal that acts on the RC. Two methods are investigated; restricting the minimum allowed QP during detections, and allowing higher bit rates temporarily. The paper also examines a number of methods for performing audio event detection. Three types of Gaussian mixture models (GMM) are implemented and tested. Further, two envelope based algorithms are used. Finally, one GMM and one envelope algorithm are used together with the minimum QP scheme to test a combined solution. Results show that both envelopes and GMMs can be used to perform detection useful for the purposes of RC preparation. When acted on by the warning system the RC lowers the amount of frame skips on most tests. Further, the peak quantisation needed during an event is often lower. Investigation of the resulting video quality shows that the quality score is lower in terms of VMAF and SSIM before and after the event happens. However, during the event the quality is roughly the same and sometimes slightly higher. When a real audio detection is used for preparation the frame skips are improved, but there are side effects in terms of quality related to false positives in the audio detection. (Less)
Application of Augmented Reality for Gypsum Marketing Using Vuforia, Sketchup and Unity 3D

The development of technology and information is currently progressing very rapidly, marked by advances in the field of information and technology. One of the most popular technologies today is gadgets. This is revealed by research conducted by Strategy Analytics. The author took the initiative to create an android-based augmented reality technology that is useful for marketing a gypsum product. The method used by researchers is quantitative. The results that have been achieved from this research are adding insight into the latest technology and promotional media.
An assortment of Query Based Summarization technique (QBS) – A Study

This paper presents latest techniques followed in Query based single and multi-document summarization. In this era, we see an exponential growth of text data in all fields, it is rigid to get vital and precise information on time. Automatic Text Summarization is obligatory to reduce the stint to analyses elongated and complicated document. Text summarization is categorized based on many factors, each has its own merits and demerits. Query based summarization has attracted increasing interest due to its usage in many applications. This survey includes query-based summarization using graph, hyper graph, RAKE algorithm and Linguistic knowledge. DUC is the popular data set used in most text summarization, but due to its inability to suit various kinds of queries, some authors have used their own data set.
Cese de la cohabitación no marital y custodia compartida de animales de compañía

In a judgment, the Court of First Instance in Rome establishes shared custody of the family pet in in the aftermath of an extra-marital cohabitation cessation and consequent partners’ disagreement on the issue.  The Court indicates rules of conduct for pet custody and maintenance.  Court’s decision grounds on the analogical application of the norms about custody of children and on the evaluation of the material, spiritual ad affective interest of the pet. The author highlights the remarkable court’s attempt in overcoming the traditional concept of pets conceived as res and, starting from this decision, indicates which perspectives the law can follow in this respect.
Backdoor Attacks on Network Certification via Data Poisoning.

Certifiers for neural networks have made great progress towards provable robustness guarantees against evasion attacks using adversarial examples. However, introducing certifiers into deep learning systems also opens up new attack vectors, which need to be considered before deployment. In this work, we conduct the first systematic analysis of training time attacks against certifiers in practical application pipelines, identifying new threat vectors that can be exploited to degrade the overall system. Using these insights, we design two backdoor attacks against network certifiers, which can drastically reduce certified robustness when the backdoor is activated. For example, adding 1% poisoned data points during training is sufficient to reduce certified robustness by up to 95 percentage points, effectively rendering the certifier useless. We analyze how such novel attacks can compromise the overall system's integrity or availability. Our extensive experiments across multiple datasets, model architectures, and certifiers demonstrate the wide applicability of these attacks. A first investigation into potential defenses shows that current approaches only partially mitigate the issue, highlighting the need for new, more specific solutions.
Research on Vision Positioning Algorithm of UAV Landing Based on Vanishing Point

Regarding the visual positioning of the autonomous landing of UAVs, this paper proposes a pose calculation method that uses the spatial geometric characteristics of the vanishing point of parallel lines and the principle of camera imaging to calculate the position and pose of the UAV. At the same time, a new symbol judgment mechanism is added to the original method to improve the accuracy of pose estimation and provide a new solution for UAV landing pose estimation.
항공관광전공 대학생의 영어학습에 적용한 플립러닝 수업모형 개발의 효과

The objective of this study was to develop and investigate the effects of flipped learning class model on aviation tourism-majored college students. For this study, the flipped learning class model was developed and twenty-one tourism-majored college students who were 15 women and 6 men in their second grade chosen as the participants. They were asked to study learning material in advance and participate in the classroom activities including group work and presentation for 15 weeks, except mid term and final term period. The data collected consisted of pre and post TOEIC reading practice test results with 100 questionnaires, academic attitude questionnaires and students’ learning logs. The results of this study have been obtained as follows; First, there was academic improvements in 21 students’ reading comprehension ability after 15 weeks. Second, there were significant changes in academic attitude such as confidence and learning motivation as shown in questionnaire responses. In particular, flipped learning class model contributed to boosting the students’ self-confidence. Further studies are needed to look into the effects of flipped learning class model based on the students’s need analysis.
Data Analysis with Python, VS Code and Jupyter

A big part of my PhD will consist of performing data analysis, enhanced with machine learning techniques where appropriate. But before turning to methods such as Latent Dirichlet Allocation (LDA), Word Embeddings, or even model-based classifiers (neural networks), it is time to set up my data analysis toolchain again. I have been using Jupyter with VS Code for a few years now, and in this article I explain how you can do the same.
Analisis Spasial Kerawanan Longsor di Kecamatan Gembong Kabupaten Pati Jawa Tengah Dengan Metode AHP (Analytical Hierarchy Process)

Natural disasters are a series of events that threaten and disrupt people's lives and livelihoods caused by both natural and human factors resulting in casualties, environmental losses, property losses and human psychological impacts. Natural disasters such as landslides are one of the most frequent disasters, especially in Gembong District. Heavy rain that flushed Pati Regency at the end of 2019 caused several areas to be affected by landslides, this made the Pati District BPBD to map several landslide-prone areas, one of which was in Gembong District. Gembong District is located on the slopes of Mount Muria with an altitude of 20-900 masl. The landslides that occurred did not cause any casualties, but hindered esidents' activities and caused material losses. Analysis of landslide prone zones is very necessary to mitigate areas affected by disasters, in this study utilizing secondary data from government agencies as well as several journals with the theme of landslides and GIS (Geographic Information Systems) for making landslide hazard maps. The analytical method used is the AHP (Analytical Hierarchy Process) method. This method is used to determine the main factors causing landslides in Gembong District with different weightings for each parameter. The parameters used are slope, rainfall, land use, soil type and geology. The final result of the main factor causing landslides is the aspect of slope with a weight of 49.3 and the aspect of rainfall with a weight of 21.8 then the type of soil and geology with the same weight, the aspect of land use gets the smallest weight, namely 8.3, the weighting is carried out by reviewing previous research journals and surveys. field. From the results of the research conducted, there are 5 classes of landslide susceptibility in Gembong District, including the hazard class, which is clearly more landslides, it is very likely that landslides will occur, there is little possibility of landslides, the possibility of not occurring landslides and not occurring landslides. The villages of Sitiluhur and Klakahkasihan are villages that have a high landslide hazard, these results are quite accurate because the value of the resulting consistency ratio is <0.1.
New Key Agreement Protocol and Cryptosystem Over ECC under SET Protocol Environment

Authenticated key agreement protocols play a significant role in securingcommunications over public network channels (Internet). This paper proposes a new keyagreement protocol and public-key cryptosystem based on ECC under SET Protocol.Then these protocols could be implemented in the SET environment for digital paymentsfor achieving better security. Here, we proficiently executed key in the SET environmentand Elliptic Curve Cryptosystem algorithm with encrypting and decrypting algorithmsalong with conformation proofs. It also provides security analysis high security , efficientauthentication and security of ECC for the proposed cryptosystem over ECC in SETProtocol.
A Novel Approach Approaches for Load Balancing in Cloud Environment and Detection of Duplication Data

The cloud computing is a sort of processing framework that comprises of a collection of interconnected computing nodes, servers, and other equipment and also programming administrations and applications that are powerfully provisioned among clients. Cloud provide the services to the users and users easily access the data from the cloud without performing any operation. The most of the IT companies like IBM, Google, Amazon, Microsoft, and so on are using cloud computing technique to develop their business or technical strategies. Cloud computing has changed the Information and Communication Technology (ICT) industry by allowing the on-demand services of flexible computing resources on a pay-as-you-go basis. In society different organization contract to the cloud for its computational requirement with high investment to reduce the private computing infrastructure maintenance cost as well as upgrades, to create the private cloud Data Centers, which develops the provisioning process along with resource management.
DETEKSI JUMLAH KENDARAAN DENGAN ALGORITMA GAUSSIAN MIXTURE MODEL DI AREA JALAN RAYA

Road safety monitoring systems are developing at this time. The transportation sector is the object of research that continues to be developed and is always an interesting topic. Not only for security purposes and for statistical purposes for the road widening process that supports road user infrastructure, but the detection system is also useful for sales marketing statistics. In this research, propose a vehicle detection system that is useful for widening roads in a certain area or area so that it can reduce traffic congestion and accident rates. The proposed Gaussian Mixture Model method has several weaknesses, such as errors in background substitution with vehicles and failing to distribute the background with vehicle shadows. However, using morphological operations can overcome these problems. The results show a fairly good level of accuracy from the proposed method. It is only less effective when using video objects with poor lighting or at night because in the blob analysis process the detected vehicle objects do not match the actual object. But if the traffic flow is smooth and unidirectional, the proposed method is still acceptable.
Quantum control of superconducting qubits

Quantum Optics and Solid State, 18-19 January 2021, virtual conference. -- Book of abstracs 43 p. -- A brief description: We describe a protocol for the realization of two-qubit quantum gates [1] between frequency tunable transmon qubits [2,3], using different methods of quantum control. In particular, we compare the FAQUAD (fast quasi-adiabatic method), the invariants method, Shlepian pulses, and optimal control strategies, among other. We conclude that there is a simple, semi-analytical approach for designing the optimal pulses that achieve fidelities of 99.8% (T2*=17 μs) or 99.99% (T2*=300 μs), within a time that approaches the theoretical limit. Theresulting pulses are smooth and resilient to the distortions introduced by microwave electronics, avoiding fast ramps or discontinuities, and being bandwidth limited.
Kendala Pustakawan UPT Perpustakaan Universitas Hasanuddin Ketika Work from Home Selama Pandemi COVID-19

This study aims to identify and describe the constraints faced by librarians of the Hasanuddin University Library when working from home (WFH) during the COVID-19 pandemic. This research is descriptive. Respondents of this study were librarians of the Hasanuddin University Library who carried out official duties in the field of librarianship at home including doing WFH during the COVID-19 pandemic, starting from the Procurement, Processing, Service, and Information and Technology units. There were two librarians representing each unit as informants, so that eight informants were obtained. Data collection was carried out by distributing questionnaires and documentations. Data were analyzed using qualitative analysis. The results of the study illustrate that the constraints faced by librarians of the Hasanuddin University Library when WFH during the COVID-19 pandemic occurred when: the librarian's view of librarian duties was ineffective; the librarian's ability to work from home was not in accordance with the ability to work in an office; there is no motivation to work at home because the librarian work is supposed to be done offline; the need for facilities and infrastructure is inadequate;and there is no leadership support while working from home. In conclusion, the constraints faced by librarians of Hasanuddin University Library when WFH during the COVID-19 pandemic need to be followed up by providing solutions. The solutions can be made in accordance with the obstacles faced, for example the completeness of facilities and infrastructure and avoiding offline work.
Linear Cryptanalysis of FF3-1 and FEA.

Improved attacks on generic small-domain Feistel ciphers with alternating round tweaks are obtained using linear cryptanalysis. This results in practical distinguishing and message-recovery attacks on the United States format-preserving encryption standard FF3-1 and the South-Korean standards FEA-1 and FEA-2. The data complexity of the proposed attacks on FF3-1 and FEA-1 is \(\widetilde{\mathcal {O}}(N^{r/2 - 1.5})\), where \(N^2\) is the domain size and r is the number of rounds. For example, FF3-1 with \(N = 10^3\) can be distinguished from an ideal tweakable block cipher with advantage \(\ge 1/10\) using \(2^{23}\) encryption queries. Recovering the left half of a message with similar advantage requires \(2^{24}\) data. The analysis of FF3-1 serves as an interesting real-world application of (generalized) linear cryptanalysis over the group \(\mathbb {Z}/N\mathbb {Z}\).
Machine Translation in Natural Language Processing by Implementing Artificial Neural Network Modelling Techniques: An Analysis

Natural Language Processing is emerging with more efficient algorithms to perform detailed analysis and synthesis on different languages and speech translation with techniques from computer science. Machine translation is emerging from Statistical Machine Translation to a more efficient and robust oriented deep learning based Neural Machine Translation. The limitation in Statistical based MT opens a new spectrum of research in NMT to resolve the existing problemsand explore NMT potential in MT research. This paper comprehensively analyses various NMT models proposed in recent years and their contribution in resolving language translation issues. It also discusses on some NMT based open-source toolkits introduced in recent year and the feature implemented in these toolkits. It also analyses the potential of these toolkits to comply with research in language translation particularly in NMT based techniques
Geography under Internet of Things

The turn of events and extension of Internet of Things need to tackle a progression of geological inquiries, for example, space association and modern spatial conveyance. In view of the combination of monstrous information between practical space and virtual space, Internet of Things will influence the scale and method for Geographical exploration. Accordingly, this paper endeavors to investigate such new marvel of Human Geography, particularly the change from Internet period to Internet of Things time, and attempt to develop the structure of Internet of Things Geography.
IRS tax tips: 6 ways to stop cybercriminals from accessing your private information

The IRS says it has made “major progress” against identity theft in tax returns, but evolving tactics still threaten taxpayers’ sensitive data.
Panoramic Learning with A Standardized Machine Learning Formalism

Machine Learning (ML) is about computational methods that enable machines to learn concepts from experiences. In handling a wide variety of experiences ranging from data instances, knowledge, constraints, to rewards, adversaries, and lifelong interplay in an ever-growing spectrum of tasks, contemporary ML/AI research has resulted in a multitude of learning paradigms and methodologies. Despite the continual progresses on all different fronts, the disparate narrowly-focused methods also make standardized, composable, and reusable development of learning solutions difficult, and make it costly if possible to build AI agents that panoramically learn from all types of experiences. This paper presents a standardized ML formalism, in particular a standard equation of the learning objective, that offers a unifying understanding of diverse ML algorithms, making them special cases due to different choices of modeling components. The framework also provides guidance for mechanic design of new ML solutions, and serves as a promising vehicle towards panoramic learning with all experiences.
성인학습방법으로서의 탐구학습방법에 대한 해석적 탐구

The discourse on adult education and learning methods has not been sufficiently discussed in Korea. The existing researches on adult education and learning methods show significantly engineering or trendy features. In this context, the Korean discussion on explorative learning method which has been expanded in Germany for a long time is much significant. This paper aims to understand the discourse on explorative learning method as the adult learning method discussed in Germany and to investigate the Korean contexts on such explorative learning method. To this end, this paper adopted the analytical and content-analysis research approach. The explorative learning, one of adult learning methods, has been expanded and discussed mainly in Germany. For the explorative learning method tracing back to the founding philosophy of modern college, that is, research and education by Humboldt, learners find out new awareness by themselves using a heuristic approach in accordance with each one’s internal motivation. The themes of inquiry may include the social issues or any tasks an organization face. Moreover, they can be the unique inquiry issues of a specific group or fundamental issues of a human being living in this world. At present, lots of learners in the turning point in their life have been frequently using the explorative learning method. It may be because they learn to find out the answers on fundamental issues in the turning point in their life.