Reviewerly/exHarmony huggingface dataset:
Cyber forensics

The constructs of compliance and auditing may vary depending upon industry and application. The definition of an audit is the process of evaluation or analysis of something to determine its accuracy. Cyber forensics is concerned with the identification, preservation, examination, and analysis of digital evidence, using scientifically accepted and validated processes to be used in and outside of a court of law. Hackers are unrelenting in their search for vulnerabilities to exploit, while information security professionals try to assure that information and assets are properly protected. Cyber forensics is important because it is used in both criminal and private investigations. Cyber forensic experts are also hired by the private sector as part of cybersecurity and information security teams to identify the cause of data breaches, data leaks, cyber-attacks and other cyber threats. Cyber forensic professionals and auditing professionals frequently work together when there is a suspicion of fraud that is detected as part of an internal or external audit.
Research Guides: Finding Federal and State Government Information in Magrath Library: Getting started finding Minnesota Environment and Natural Resources

Magrath Library has a large collection of United States government publications from federal agencies that correspond with the programmatic subjects on the St. Paul campus. A mostly comprehensive collection of publications from state extension services, a
Floor finishes at ablution areas in Masjid Sultan Iskandar and Masjid Al-Bukhari in Johor, Malaysia / Zuhanis Atan and Izzat Anuar

This research is to collect all the data about the flooring materials effect between the coefficients of the friction of consumer’s foot act against the floor surface. The purpose of this section is to understand the differences between porcelain tiles and pebble wash tiles which is used in ablution area of Masjid Sultan Iskandar at Bandar Dato’ Onn and Masjid Al-Bukhari at Senai. The possibilities in the selection of the materials of ablution area in relation to the consumer's movement must be to avoid slipping. This research also to study the problems of slipping among consumers especially senior citizens and knowing the type of suitable flooring materials for ablution area. A comparison study is the most suitable for this research for finding the accurate in indifference, the disadvantages, the workability and the appropriate design for the floor finishes between the coefficient and friction. The purpose of this research is to identify which type of floor surface that suitable to use at ablution area that can bring a good impact and reduce the risk of falling to the user especially senior citizens through the selection of floor finishes materials and how the difference materials that suitable for ablution area to avoid slipping
Semantic Segmentation Using Fully Convolutional Network for An Autonomous Vehicle

Numerous individuals inside the profound learning and PC vision networks comprehend what picture arrangement is. We would like to inform about our model that, what single object or scene is present within the image. Semantic segmentation is the most informative segmentation, where we wish to classify each and every pixel within the image. Deep networks have proved to be encoded with highlevel feature like semantic means which can deliver superior performance in salient object detection. Our key insight is to create “Semantic Segmentation using Fully Convolutional Network for an Autonomous Vehicle” where semantic segmentation is one of the key problems within the field of computer vision. Watching the larger picture, semantic segmentation is among one of the high-level tasks that paves the way towards complete scene understanding. The significance of scene understanding as a center PC vision issue is featured by the established truth that an expanding number of uses feed from deriving information from symbolism. A number of those applications include self-driving vehicles, human-computer interaction, geo-sensing etc. Self-driving vehicles require a profound comprehension of their environmental factors. To support this, fully convolutional networks classifies the road, pedestrians, cars, and sidewalks at pixel-level accuracy. During this project, we develop a neural network and optimize it to perform semantic segmentation using fully convolutional network models.
Design of data fusion algorithms for advanced driver assistant systems

Data fusion can be defined as the processes of combining different types of sensor data into a common data type. Multisensor data fusion refers to the synergistic combination of sensory data from multiple sensors to provide reliable and accurate information. The challenge is how such huge data which is independently diverse can be fused. Hence there is a necessity for sophisticated and efficient data fusion techniques. Various approaches to address this problem have been found in literature andcan be categorized broadly as a statistical method, generic Bayesian filter, and its derived filters, AI,deep learning, etc. In this paper, two different approaches and techniques to address the problem of sensor data fusion are presented and their comparative analysis is shown. Data fusion algorithms using a generic linear method (Kalman filter) and a nonlinear method (extended Kalman filter) havebeen designed in this work. Further, the challenges in a fusion of a variety of data, measured by different sensors, are addressed considering multiple-sensor-based autonomous vehicles as the application area for the current work.
The Role of Technology Development and Economic Infrastructure in the Development Efforts of the Welfare of the Indonesian People

This study aims to examine the role of technological developments and economic infrastructure in developing the welfare of the Indonesian people. This study uses secondary data from world banks and processed regression using the moving average autoregression method. We find that Economic Infrastructure and Technology Development are positively related to the gross domestic product which reflects the welfare of the Indonesian people. The estimation results indicate that when the economic infrastructure is upgraded based on high technology, it will encourage economic growth as indicated by the growth of gross domestic product which in turn will bring welfare to the people. When the economic infrastructure is upgraded based on high technology, it will encourage economic growth, which is indicated by the growth of gross domestic product which in turn brings prosperity to the people.
PERANCANGAN SISTEM INFORMASI AKUNTANSI PERSEDIAAN BARANG DAGANG DI TOKO SERBA 35 PEMKOT CIMAHI

This research aims to design an inventory information system at the Toko Serba 35 of the City Government of Cimahi. The research method used is descriptive qualitative. The data collection techniques used were literature study, observation and interviews. From the research conducted, it was found that the factors that hindered inventory management were still using Microsoft Excel recording with the v-lookup formula which was felt to be less effective and efficient. With the creation of an engineering merchandise inventory software with a desktop programming application to make it easier to obtain information related to inventory of merchandise appropriately in managing inventory data. The conclusion of this research is by using the application as a means of merchandise inventory, it is expected that the inventory management process can run well without any obstacles
JUBILEE: Secure Debt Relief and Forgiveness.

JUBILEE is a securely computed mechanism for debt relief and forgiveness in a frictionless manner without involving trusted third parties, leading to more harmonious debt settlements by incentivising the parties to truthfully reveal their private information. JUBILEE improves over all previous methods:- individually rational, incentive-compatible, truthful/strategy-proof, ex-post efficient, optimal mechanism for debt relief and forgiveness with private information- by the novel introduction of secure computation techniques to debt relief, the “blessing of the debtor” is hereby granted for the first time: debt settlements with higher expected profits and a higher probability of success than without using secure computationA simple and practical implementation is included for “The Secure Spreadsheet”.Another implementation is realised using Raziel smart contracts on a blockchain with Pravuil consensus.
ANALISIS PERSEPSI MAHASISWA TENTANG KULIAH ONLINE DI MASA PANDEMI COVID-19 (Studi Kasus Pada Mahasiswa Manajemen Universitas Bosowa)

SURIYADI KAMARUDDIN 2021 thesis analyzing student perceptions about online lectures during the covid-19 pandemic in Makassar City, South Sulawesi Province, under the guidance of Dr. Mrs. Sukmawati Mardjuni, SE., M.Si and Mr. Rafiudin, SE, M.Sc.            The purpose of this study is to find out and analyze what are the problems and obstacles of students during online lectures during the pandemic.            The object of this research is a student of Management at the University of Bosowa using a qualitative descriptive analysis method.            The results of the study show that the main problems and obstacles for students are based on limited internet network access, especially with students who live far from the city, as well as a lack of understanding of technology.
Adaptaciones en la formación del profesorado durante la pandemia: proyecto de producción de vídeos digitales acerca de contenidos de geometría

This writing reports an adaptation experience in teacher training regarding the productions of future teachers during the second semester of 2020.The process was carried out using the Project Based Learning methodology, motivating the discovery of digital videos as new ways of producing knowledge in teacher training in a pandemic context.
Aportes a la apropiación social de TIC desde consejos comunitarios afrocolombianos de Corinto, Cauca (Contributions to Social Appropriation of ICT in Afrocolombian Community Councils From Corinto, Cauca)

Spanish Abstract: La apropiacion social de tic ha alcanzado mayor campo de analisis e investigacion. Hace unos anos, se concebia sin la complejidad que varios autores, organizaciones e instituciones le han venido reconociendo. Esto hace pensar que, a pesar de los multiples esfuerzos realizados desde varios sectores, el uso y la apropiacion aun siguen sin ser comprendidos profundamente en sus entornos locales. Se presenta una estrategia metodologica construida con organizaciones rurales para la apropiacion social de las TIC a traves de analisisetnograficos de los “entornos practicos” en la interrelacion sujetos-tecnologias, atendiendo sus dimensiones a partir de una investigacion en Corinto, Cauca.English Abstract: The social appropriation of ICT has gained a big space in the field of analysis and research. A few years ago, it was conceived without the complexity that several authors, organizations and institutions have recognized. This suggest that, despite the amount of efforts made by several sectors, the use and ownership are still not deeply rooted in their local environments. For this study we present a methodological strategy constructed with rural organizations for the social appropriation of ICT’s through the analysis of the “practical environments” in the interrelationship between subjects technologies, attending their dimensions from an investigation in Corinto Cauca.
Zero-Shot Day-Night Domain Adaptation With a Physics Prior

We explore the zero-shot setting for day-night domain adaptation. The traditional domain adaptation setting is to train on one domain and adapt to the target domain by exploiting unlabeled data samples from the test set. As gathering relevant test data is expensive and sometimes even impossible, we remove any reliance on test data imagery and instead exploit a visual inductive prior derived from physics-based reflection models for domain adaptation. We cast a number of color invariant edge detectors as trainable layers in a convolutional neural network and evaluate their robustness to illumination changes. We show that the color invariant layer reduces the day-night distribution shift in feature map activations throughout the network. We demonstrate improved performance for zero-shot day to night domain adaptation on both synthetic as well as natural datasets in various tasks, including classification, segmentation and place recognition.
The Effectiveness of Think Aloud Strategy to Improve Students' Writing Simple Present Tense on Descriptive Text

This research aims to improve student grades and student activity in learning simple present tense in the descriptive text by using think aloud strategy and motivate students to more quickly and easily learn simple present tense in the descriptive text. SMPN 1 MUNDU Cirebon was chosen as the place for this research. There are 2 classes namely control class and experimental class consisting of 20 students in each class who participated in this study. Data were collected using Triangulation techniques. Triangulation can be defined as the use of two or more data collection methods in this study. The purpose of triangulation is to increase the credibility and validity of findings. In addition, the authors collected data using Pre-test, post-test and questionnaire. This study found that in the Control class the high score was 26%, Medium 42% and the low score 32% and in this Experimental class the researcher used think aloud strategy and produced the high score of 35%, Medium 44% and the Low score 21%. In these values it can be simplified that applying think aloud strategy to simple present tense learning in the descriptive text can be understood and accepted by students. So the results of the learning value that is quite satisfying.&#x0D; Keywords: Think aloud strategy: students writing: simple present tense: descriptive text
Bhagawan Dhomya's Approach to Learning in Adiparwa Text at Pasraman Wanagiri

This study aims to determine: (1) the structure of the story of Bhagawan Dhomya in the Adiparwa text; (2) The form of Bhagawan Dhomya's learning approach in Adiparwa Text; (3) The learning approach at the Wanagiri Pasraman, Bale Hamlet and Klumpu Village, Nusa Penida District, Klungkung Regency from the perspective of Bhagawan Dhomya in the Adiparwa text. This type of qualitative descriptive research, data collected using observation, interviews and literature study. The technique of determining informants was purposive sampling with qualitative descriptive analysis techniques, the results obtained were as follows: (1) The structure of the story of Bhagawan Dhomya in the Adiparwa text, consisting of a synopsis, theme, plot, character, and incident; (2) The learning approach in Bhagawan Dhomya's story, in terms of orientation, there are two approaches, namely student-oriented and teacher-oriented approaches. Several learning approaches are applied, namely the contextual approach, constructivism, process, project methods and the application of the KBK curriculum; (3) The learning approach at Pasraman Wanagiri, in the perspective of Bhagawan Dhomya's story, broadly speaking there are two approaches, namely student-centered learning approaches, and teacher-centered learning approaches. The types of learning approaches applied are contextual approach, constructivism, concept approach, process approach, science, technology and society (STM) approach, and project method approach.
Adaptive Steganography Based on Image Edge Enhancement and Automatic Distortion Learning

The research of steganography has been one of the hotspots in the field of information security. The automatic distortion learning steganographic method based on generative adversarial networks (GAN) has outperformed the hand-crafted steganographic algorithms. However, the detection accuracy of steganalysis networks keeps improving as they are continuously combined with the latest neural network structures. It poses a great threat to the security of steganographic algorithms. Therefore, how to enhance the imperceptibility of secret messages is an ongoing issue. In this paper, we propose an automatic distortion learning steganographic method with better security performance based on image edge enhancement. To reduce the search space and increase the training efficiency, we change the input of the network by feeding edge-enhanced images to generator. In addition, to make the pixel change probability map more accurate and hereby improve the abaility to resist steganalyzer, we add shallower connections to the U-Net structure to build the generator. After this, the generated pixel change probability map is further used to simulate information embedding. Under this framework, we use XuNet to judge the imperceptibility of secret messsages in time and adjust the pixel change probability. The experimental results on BOSSBase dataset show that our proposed method performs better than the hand-crafted (S-UNIWARD) and GAN-based automatic steganographic algorithms (UT-GAN) on security against XuNet, SRNet and SRM.
READINESS OF ARTIFICIAL INTELLIGENCE TO ACCELERATE BUREAUCRATIC REFORM IN INDONESIA

The national use of AI in the government sector is necessary to achieve effectiveness and efficiency in supporting bureaucratic reform and policy decision making in order to implement good governance. The research uses qualitative descriptive methods by reviewing previous research, and reviewing policies related to the use of AI in government and bureaucratic reform. The results show that in terms of governance, AI systems do not yet have specific laws governing and ensuring the security and protection of citizen data and the use of algorithms against the misuse of electronic transactions. In terms of governance, AI development is needed as an effort to maintain public trust and government legitimacy. In terms of infrastructure Indonesia is still constrained by the creation of data that is very difficult and does not allow for reuse. In terms of skills and education, the digital skills of workers in Indonesia are still middle level. In terms of government and public services, Indonesia still has to continue to increase the availability of public services digitally. In order to improve the management of AI Indonesia builds artificial intelligence industry research and innovation collaboration (KORI-KA), a quadruple-helix approach between government, industry, academia and the community. At a strategic level, AI management is conducted with policy, accountability, and accountability approaches. At the operational level, cybersecurity against data includes infrastructure security and the use of anonymous data methods to keep data owners unidentified.
Meta Internal Learning.

Internal learning for single-image generation is a framework, where a generator is trained to produce novel images based on a single image. Since these models are trained on a single image, they are limited in their scale and application. To overcome these issues, we propose a meta-learning approach that enables training over a collection of images, in order to model the internal statistics of the sample image more effectively. In the presented meta-learning approach, a single-image GAN model is generated given an input image, via a convolutional feedforward hypernetwork $f$. This network is trained over a dataset of images, allowing for feature sharing among different models, and for interpolation in the space of generative models. The generated single-image model contains a hierarchy of multiple generators and discriminators. It is therefore required to train the meta-learner in an adversarial manner, which requires careful design choices that we justify by a theoretical analysis. Our results show that the models obtained are as suitable as single-image GANs for many common image applications, significantly reduce the training time per image without loss in performance, and introduce novel capabilities, such as interpolation and feedforward modeling of novel images.
Secure quantum communications beyond the repeaterless secret key capacity

Since they were first introduced, quantum communications have evolved into a mature technology that is making its way to market. Quantum key distribution (QKD), in particular, allows the exchange of information with security that stems from the very laws of quantum mechanics and hence is not impaired by future technological advances. These same laws, however, restrict the QKD transmission range, as they forbid a straightforward amplification of quantum signals. This leads to a fundamental rate-distance bound known as the “repeaterless secret key capacity” (SKC0), which was thought to be impossible to overcome without a full-fledged quantum repeater. The recent proposal of “Twin-Field QKD” challenged this belief and showed how to overcome the SKC0 with an effective quantum repeater, realisable with present-day technology. This allows to perform QKD over long-distance and high-loss channels. In my talk, I will review the main concepts and most significant results behind this novel idea.
Face Detection Keypoints Using Dct And Clahe

The research was used to overcome illuminations on facial images are continuing. This testing was related to the level of illumination variation, which was one of the important factors that given an effect on the accuracy of face detection keypoints. The dataset used for this study was taken from the front side of the object. The detection result quality of the datasets will be improved by handling the illumination variations using the DCT algorithm and the CLAHE algorithm. In the process of handling the illumination’s problem, the accuracy result of five feature detectors in detecting facial keypoints were also evaluated. The research parameters to be calculated consist of recall, precision, and F-score. Testing is needed to prove that the F-score will increase after two images processing methods that applied. The test results proved that the combined application of DCT and CLAHE could increase the level of key point detection in the SURF algorithm.
Steganography Model Techniques, Taxonomy with Deniable Methodology and Data Concealing in Image using Steganography

The radical enhancements in the technology and internet has led information to be shared in just single click. As a result, it really became important to worry about the intellectual property protection on the internet. Steganography and cryptography could be very much useful in achieving the secure transfer of the information. Steganography is a practice that prevent unauthorized user from accessing and reading the secret data. It is a scientific art of covering the information so that it remains undetected to everyone except the intended receiver. In this technique, carrier plays an important role and must be selected in such a way that it does not leave behind any trace of thehidden message. There is always a threat that any person can detect the hidden object and could reveal the secret, but there is also a concept of deniable strategy in steganography which in such cases reveals the secondary data instead of primary one and keep that secure. The paper is meant to introduce with the introductory concept of steganography, classification of steganography centered on various file formats support (images, videos, protocols, text, etc.), deniable steganography which is providing additional layer of security and analysis of the noticeable changes created in stego-object as compared to original carrier