Reviewerly/exHarmony huggingface dataset:
The Implementation of Covert Channel in IPV6 using Linux Kernel

Nowadays indirect communication is used as a mechanism to bypass the direct communication network channel. Such indirect communication channels prove as a threat to information-sensitive systems that don’t allow leakage of information like Military communication. Developing a covert channel in the network requires some carriers like TCP Headers or Protocols. The only challenge is that it possesses strict semantics. If it is manipulated by even a single bit, the entire semantics will change. The packet will be considered as a forged packet and will get rejected automatically by a firewall. To avoid this, we have proposed a unique way of covert commumcation - TCP and IPv6 Referencing Model. In our proposed referencing model, instead of embedding any bit and destroying the semantics of the header, we are going to use the referencing method to send the covert bit from sender to receiver end. Thus the packet will appear a part of normal distribution and gets transmitted securely within the channel. Here we are using the TCP Sequence Number (SQN) to make this possible.
Learning Output Embeddings in Structured Prediction

A powerful and flexible approach to structured prediction consists in embedding the structured objects to be predicted into a feature space of possibly infinite dimension by means of output kernels, and then, solving a regression problem in this output space. A prediction in the original space is computed by solving a pre-image problem. In such an approach, the embedding, linked to the target loss, is defined prior to the learning phase. In this work, we propose to jointly learn a finite approximation of the output embedding and the regression function into the new feature space. For that purpose, we leverage a priori information on the outputs and also unexploited unsupervised output data, which are both often available in structured prediction problems. We prove that the resulting structured predictor is a consistent estimator, and derive an excess risk bound. Moreover, the novel structured prediction tool enjoys a significantly smaller computational complexity than former output kernel methods. The approach empirically tested on various structured prediction problems reveals to be versatile and able to handle large datasets.
BUT-FIT at SemEval-2020 Task 5: Automatic detection of counterfactual statements with deep pre-trained language representation models.

This paper describes BUT-FIT's submission at SemEval-2020 Task 5: Modelling Causal Reasoning in Language: Detecting Counterfactuals. The challenge focused on detecting whether a given statement contains a counterfactual (Subtask 1) and extracting both antecedent and consequent parts of the counterfactual from the text (Subtask 2). We experimented with various state-of-the-art language representation models (LRMs). We found RoBERTa LRM to perform the best in both subtasks. We achieved the first place in both exact match and F1 for Subtask 2 and ranked second for Subtask 1.
A CONSISTENT FRAMEWORK FOR A STATISTICAL ANALYSIS OF SURFACES BASED ON GENERALIZED STOCHASTIC PROCESSES

The statistical analysis of surfaces is an important issue of Image Analysis, especially in Computational Anatomy. In 2005, Glaunes and Vaillant proposed to handle surfaces through some mathematical currents defined as linear forms on a space of mappings from R 3 into itself. In this paper, we extend this deterministic representation of surfaces using some random linear forms inspired from generalized stochastic processes. Then, we set an observation model where observed surfaces are viewed as random variations of a mean representative of a population (called the template). This observation model accounts not only for the variability of surfaces within an homogeneous population but also for errors due to acquisition. Within this model, we construct an estimate of the template and establish its consistency.
Implementasi Model Instalasi Pengelolaan Air Limbah dengan Menambahkan Berbentuk (L) Setiap Tangki

The importance of this research is to provide a new development in the form of the development of the addition of L-shaped pipe accessories added to the pipe in each tank from previous studies, Implementation of previous research has not been maximized when used in the kitchen of Makassar Tourism Polytechnic so that modifications are made, because it is not there is a difference in waste from each tank, furthermore this research uses research and development research methods with the development of existing models by not build the new construction from scratch, while the development of this research is to add pipes in the form (L) or L-shaped pipe attached to the tank number one (1) as the first tank for waste that is disposed of often containing foam soap, fat and heavy sediments, then in the second tank (2) which already does not contain foam, grease, and heavy sediments, reattach the L pipe to reduce the content is what if it still exists, then add sand material, and gravel, as the dissolved material Chemical Oxygen Demands (COD) dissolved in the third tank (3) before being channeled into the public sewer. This research recommends that before disposal of liquid waste from processed food, it is better to do the separation of the sediment contained in the liquid waste and then to develop it further to get more perfect results, especially the criteria for Wastewater Clarity.
A Unified Framework of Surrogate Loss by Refactoring and Interpolation

We introduce UniLoss, a unified framework to generate surrogate losses for training deep networks with gradient descent, reducing the amount of manual design of task-specific surrogate losses. Our key observation is that in many cases, evaluating a model with a performance metric on a batch of examples can be refactored into four steps: from input to real-valued scores, from scores to comparisons of pairs of scores, from comparisons to binary variables, and from binary variables to the final performance metric. Using this refactoring we generate differentiable approximations for each non-differentiable step through interpolation. Using UniLoss, we can optimize for different tasks and metrics using one unified framework, achieving comparable performance compared with task-specific losses. We validate the effectiveness of UniLoss on three tasks and four datasets. Code is available at https://github.com/princeton-vl/uniloss.
GrAPL 2020 Keynote Speaker The GraphIt Universal Graph Framework: Achieving HighPerformance across Algorithms, Graph Types, and Architectures

In recent years, large graphs with billions of vertices and trillions of edges have emerged in many domains, such as social network analytics, machine learning, physical simulations, and biology. However, optimizing the performance of graph applications is notoriously difficult due to irregular memory access patterns and load imbalance across cores. The performance of graph programs depends highly on the algorithm, the size, and structure of the input graphs, as well as the features of the underlying hardware. No single set of optimizations or single hardware platform works well across all applications.
Home Automation Using Chatbot and Voice Assistant

In a world with ever increasing needs for comfort, human race is relying more and more on technological advancements to find solutions to their problems. Home Automation Systems have become a go-to arena in the recent years. In the following paper, we propose a Home Automation system that uses a wholesome blending of some technologies like Internet of Things, Natural Language Processing and Machine Learning. The prime feature of this system is that, it provides two modes of communication to the user : Text and Voice. The text input from the user will be given via a Chatbot Application and the voice input from the user will be given via a voice assistant. The input will undergo Natural Language Processing to find the action that the user wants the system to perform. The IoT component, Raspberry Pi would perform the actuations in the form of switching On or Off of Lights and Fans of a room in the house.
New Perspectives on Exploration and Exploitation: When Learning Fast is Superior to Slow Learning

Many organizations employ algorithms that learn from their members and then shape the way these individuals learn. Nevertheless, decades of research on organizational learning suggests that imperfect learning algorithms could sustain suboptimal beliefs that trap organizations indefinitely. To study potential algorithmic learning traps, we solve the underexplored theoretical properties of the March 1991 mutual learning model and demonstrate the conditions under which individuals should trust learning algorithms' recommendations. Our results show that the received wisdom regarding the benefit of slow learning and diversity does not hold when algorithms cannot identity accurate beliefs but follow the majority. The presence of non- discerning or even manipulated algorithms suggests that individuals should learn fast instead of slow to reduce the chance that algorithms learn the wrong, misleading lessons that would otherwise diffuse and contaminate everyone. Our exploitation of the March model generates novel insights that are increasingly relevant, thus promoting the model's generalization and making its beauty more robust.
Secure Dissemination and Protection of Raster Data using Merkle Hash Tree based Cryptowatermarking

Due to rapid development in the Internet and other communication technologies, it becomes quite easy to copy and distribute multiple illegal copies of high value and sensitive data. Raster data is one of the high voluminous data and it requires huge efforts to sense and generate this data. Therefore, ownership protection as well as its integrity become one of the key problems in spatial information service. There are lot many schemes are available for watermarking and encryption individually, but if both are combined gives manifold advantages. This paper presents a cryptowatermarking scheme by combining watermarking and encryption to protect the copyright of raster data as well as to provide security dissemination level. We have proposed a scheme by employing double transposition, LSB substitution watermarking and Merkle Hash Tree for encryption and watermarking. It has been observed that the proposed scheme is not only robust against encryption attacks, but also has transparency, strongness, large data hiding capacity and correct extraction of watermark.
ABOUT THE NATURE OF CREATIVITY (ANALYTIC AND SYNTHETIC APPROACH)

The article presents the experience of implementing the analytical-synthetic approach in relation to the study of creativity. This involves the establishment of connections of creativity with the main mental and social phenomena that determine its being. The basic within this system of relations is the attitude to activities. Since any human activity is a unity of stereotypical (non-creative) and developing (creative, moving) principles, creativity is an innovative part of the activity, which is aimed at creating a new. All types of activities are divided into actually creative and relatively creative. In the first, creativity is the goal, and the stereotypical part is the means. Secondly, on the contrary, stereotyped procedures are the goal, and the creative part is the means. There is no creativity in nature, but, like in society, there is development. Creativity is not a development mechanism, creativity is an activity through which development is carried out as a qualitative directed change of objects. Creativity cannot be contrasted with reflection. Human consciousness to the extent transforms the world in which it reflects and becomes a regulator of activity. Creativity cannot be equated with thinking, since thinking can be not only creative, but also stereotyped, and the unconscious also participates in the creative process (intuition). Creative imagination in the real world reflects the realm of the possible, that is, what is not, but what can be. The main form of its existence is human project activity, which arises on the basis of subject and evaluative knowledge and is a means of transforming the real world. Creativity is a person’s ability to create new, and creativity is a realization of this ability. Therefore, to identify creativity with creativity is unlawful. Creativity is determined by the makings of a person, social conditions and personal characteristics. The makings and social conditions in this determination, in our opinion, play a decisive role, and a decisive role for personal characteristics. The creative process is considered in the unity of psychological and sociocultural approaches to it. The creative process begins not with the formulation of the problem, but with the prerequisites for it - the needs of society and the individual in innovations and the possibilities of creating them. It ends not in the subjective way of the new, but in the oral, written, speech, and production objectification of it and the consumption of a new product. In the course of consumption (consumer activity), the real truth and value of a creative product is revealed. Knowledge of the nature of creativity is a methodology for studying creativity in education.
A Modern Technique for Evaluating the Square Root of a Complex Number

The subject of complex numbers issue is very significant because of its wide utility, especially in the engineering circuits representation. In this paper, a modern method to find the square root of the complex number has been analyzed, and some examples on the subject were presented.
GIS-AHP Multi-Decision-Criteria-Analysis for the Optimal Location of Solar Energy Plants at Indonesia

A reliable tool for site-suitability assessment of solar power plants capable to account for the sustainable development and protection of cultural and biodiversity conservation areas is proposed. We present a novel Analytic Hierarchy Process (AHP) based approach for the Multi-Decision Criteria Analysis (MDCA) of SSI satellite retrieved data and local information sources, it within a GIS platform tailored to fit the needs of energy stakeholders at Indonesia, simultaneously ensuring the conservation of legally protected areas. This imposes significant challenges due to the wide diversification of cultural, natural, and ecological protected areas that need to be considered, in landmarks that demand for high resolution imaging of surface solar irradiance (SSI) within $\pm 4^{\circ}$ of the equator. To overcome these challenges, a GIS spatial weighted overlay analysis for criteria layers such as climatology, topography, electrical grid, and road infrastructure has been performed, it based on the technical and economic feasibility for solar plants deployment within three approximation schemes focused on their proximity to the existing (i) power network, (ii) road infrastructure, and (iii) community settlements. Here, we focused on the West Kalimantan Province of Borneo Island (WKP), it mainly due to its possibility of onshore inter-connectivity and energy share with Malaysia and Brunei, and the high national and international importance that brings forward the protection of the biodiversity of Borneo. It has been found that the optimal location of PV plants can be reduced to just $0.03\%$ ($46.60~km^{2}$) and $0.07\%$ ($108.58~{km}^{2}$) of WKP, in what we report as the best-suitable conditions out of the $33.05\%$ exploitable area found after the exclusion of conservation areas. This corresponds to ...
ОСОБЛИВОСТІ ВИКОРИСТАННЯ ТЕМБРОВОГО ПОТЕНЦІАЛУ АКОРДЕОНА В ТВОРАХ ДАТСЬКИХ КОМПОЗИТОРІВ ХХ СТОЛІТТЯ

The aim of the study is to analyze the principles of interpretation of the timbre potential of the accordion by Danish composers of the twentieth century, which will allow to better understand the peculiarity of using this instrument in Scandinavian academic music of the late twentieth century. Thus, by music analisis of works by Ole Schmidt, Niels Viggo and Per Nørgord, the peculiarities of the use of accordion in Scandinavian academic music of the twentieth century, as well as the principles of its interpretation in the music of the selected composers are revealed.
A Compression Algorithm for DNA Palindrome Compression Technique

Data Compression in Cryptography is one of the interesting research topic. The compression process reduces the amount of transferring data as well as storage space which in turn effects the usage of bandwidth. Further, when a plain text is converted to cipher text, the length of the cipher text becomes large. This adds up to tremendous information storing. It is extremely important to address the storage capacity issue along with the security issues of exponentially developing information. This problem can be resolved by compressing the ciphertext based on a some compression algorithm. In this proposed work used the compression technique called palindrome compression technique. The compression ratio of the proposed method is better than the standard method for both colored and gray scaled images. An experimental result for the proposed methods is better than existing methods for different types of image.
Function Virtualization in High Performance Computing: Opportunities and Challenges

High performance computing is one key improvement in China, the utilization of HPC are extended to many areas. The case in aerospace simulation and modeling is one major use in recent days. In this paper, we discuss the development of HPC and the possible functional virtualization in future development of HPC, we summarize the advantages and weakness of virtualization in HPC, the cost efficiency, resource management and robustness are the key advantages, on the contrary, the support of software environment, the maturity, and the compatibility are still uncertain and pending to be solved.
Exploiting Cross-Lingual Knowledge in Unsupervised Acoustic Modeling for Low-Resource Languages

(Short version of Abstract) This thesis describes an investigation on unsupervised acoustic modeling (UAM) for automatic speech recognition (ASR) in the zero-resource scenario, where only untranscribed speech data is assumed to be available. UAM is not only important in addressing the general problem of data scarcity in ASR technology development but also essential to many non-mainstream applications, for examples, language protection, language acquisition and pathological speech assessment. The present study is focused on two research problems. The first problem concerns unsupervised discovery of basic (subword level) speech units in a given language. Under the zero-resource condition, the speech units could be inferred only from the acoustic signals, without requiring or involving any linguistic direction and/or constraints. The second problem is referred to as unsupervised subword modeling. In its essence a frame-level feature representation needs to be learned from untranscribed speech. The learned feature representation is the basis of subword unit discovery. It is desired to be linguistically discriminative and robust to non-linguistic factors. Particularly extensive use of cross-lingual knowledge in subword unit discovery and modeling is a focus of this research.
Consumer Versus Dedicated Digital Cameras in Photomicrography

A number of consumer digital cameras (compact, bridge, single lens reflex [SLR], and system ones) are of sufficiently high quality to qualify as suitable for photomicrography and represent an affordable alternative to dedicated, high-end cameras typically equipped with very sensitive sensors. When the image sensor resolution is at least 6 or 8 megapixel digital images offer rendering of details that is comparable to conventional micrographs taken on a standard 36 × 24 mm film. In most situations, micrographs taken by high-end (SLR) or other cameras feature no obvious differences in quality, so that even compact or bridge cameras may be used in most cases. Otherwise, for example, in low-light conditions or when very large print formats are required, SLR camera may be needed owing to its low noise, superb resolution and high ISO speed range. Dedicated moderate-cost cameras equipped with CMOS sensors represent an optimal solution for high-resolution video clips and in situation when life-view images have to be presented on high-resolution screens. On the other hand, color images are better rendered by high-end system cameras and ordinary (consumer) cameras. Layout of photosensitive cells in the retina across taxonomical groups is presented as an analogy of image sensor designs.
Analysis Aryabhata Remainder Theorem On Rivest Shamir Adleman (RSA) Cryptography

Security of RSA cryptography lied in the difficulty of factoring the number p and q bacame the prime factor. The greater the value of p and q used, the better the security level was. However, this could result in a very slow decryption process. The most commonly used and discussed method of speeding up the encryption and decryption process in RSA was the Chinese Remainder Theorem (CRT). Beside that method, there was another method with the same concept with CRT namely Aryabhata Remainder Theorem which was also relevant used in public key cryptography such as RSA. The purpose of this study was to obtain an effective method to RSA especially in the decryption process based on the calculation of the time complexity of computing.
Digital sociology and new opportunities for social and educational rehabilitation of disabled people

Based on the conducted sociological research and using modern methodological approaches of digital sociology, the feasibility of developing institutional conditions for improving the educational rehabilitation of disabled people by means of modern Internet technologies has been justified. Examples of the development of analogical problems in the works of domestic and foreign authors have been given. The possibilities of scientific and methodological support of social experiments on the development and implementation of educational Internet communications to overcome the disability of disabled people using the Arsenal of digital sociology have been described separately. The data on the attitude of disabled people to higher education in the system of their rehabilitation and life activity, with the identification of social groups with positive, uncertain and negative attitudes with a predominant positive attitude to the possibility of educational rehabilitation have been provided. The educational needs of people with disabilities in various areas have been described, their quantitative characteristics with the definition of priorities and areas of education that are not relevant for people with disabilities have been presented. A significant place in the article has been given to the possibilities of involving disabled people in the process of developing educational programs and in research activities, both in terms of the availability of willing people among them, and the use of various forms of their integration into real research projects as part of temporary creative teams. The conditions for the implementation of scientific support for the development of training programs in the Internet space by conducting their practical testing on the example of the Zagorsk experiment have been characterized separately. Attention to supporting individual research projects of people with disabilities in the course of higher education has been paid, ways to help them collect experimental material have been substantiated. Separately, the role and place of joint forms of scientific activity of disabled people, teachers and students in the performance of state tasks have been shown. Taking into account the important role of social inclusion of disabled people in Internet communications, the prevalence of creating accounts in the Internet information and communication network and using various Internet resources among disabled people and family members has been separately reflected.