Reviewerly/exHarmony huggingface dataset:
Video Denoise Algorithms Research and Analysis

Noise in video images is inevitable, so it is necessary to study video denoising. After many years of research on video image noise reduction by researchers, many effective video image noise reduction algorithms have been presented. In this paper, we will research and analyze the mainstream video image denoising algorithms on their characteristics, strengths, and weakness including traditional methods and learning-based methods. Necessary comments and analysis have also been presented for these algorithms later, by which the advantages and disadvantages of each algorithm are evaluated. Finally, we carefully produce the probable directions of future video image denoising algorithms for better denoise performance including the combination of traditional and learning-based algorithms for different applications.
CRYPTO CURRENCY: ITS SCOPE AND IMPACT ON INDIAN ECONOMY

The advancement of information and communication technologies has always created innumerable opportunities in several aspects. Cryptocurrency is one such innovative concept of decentralized virtual currency. Cryptocurrency is a substitute for at money, designed to work as a medium of exchange. The use of cryptocurrency has become widespread in many different systems in recent years. This paper is an outcome of exploratory researches about Cryptocurrency and its impact on the Indian economy. The study also concentrates on the present and future scenarios of Cryptocurrency. Besides that, this paper also analysis the regulation and legislation towards Crypto currency to get a clear picture of laws and orders that regulates the working of Cryptocurrency in India.
Organization of lessons by creating educational projects in small groups

The article is devoted to the development of interactive teaching methods in innovative education. The problems of the development and use of productive educational technologies in the organization of the educational process are considered. (Abstract)
Service Security of Cloud Storage Technology in Digital Library

With the development of Digital Library under cloud storage environment, the information security of digital library is becoming increasingly prominent. By analyzing the current situation of information security in digital library, this paper points out that there are security risks in data information, virtualization technology and cloud service management of Digital Library under cloud storage environment, and puts forward the Countermeasures of information security in digital library cloud storage environment. Library cloud storage will inevitably encounter the data security problems of using cloud storage, including transmission security, storage security, data cleaning and server stability. Through the establishment of transmission encryption control, data storage and identity access mechanism, the most basic data security problems must and can be effectively solved. This paper starts from the process of data information security supervision, implementation methods and security team, and puts forward the strategy to solve the data security problems. The new strategy from data transmission to storage plays a role in the effective protection of cloud storage, thus providing effective protection for data security of cloud storage.
The Role of Human in the Loop in Threat Recognition in Homeland Protection Systems

Threat Recognition is a primary task in Homeland Protection systems. When performing this task, Human in the Loop is the main part of a multidisciplinary reasoning process, that allows to achieve a high probability of correct classification. This reasoning process relies on two important factors, namely the past recognition history and the threat scenario. The Human in the Loop agent contributes both in controlling the automated process and in acting as a decision support system in different situations, such as dynamic changes in the scenario and occurrence of anomalous conditions. In this paper, we evaluate the performance of a multidisciplinary system, which uses a combination of a multisensory classification algorithm and a multidisciplinary fusion rule. This fusion rule combines the decisions coming from different channels with the reasoning process of a Human in the Loop agent. The performance evaluation of the multidisciplinary threat recognition system is carried out by considering different case studies. The evaluation demonstrates that a multidisciplinary system with a Human in the Loop agent can classify different threats, by using a set of methods and algorithms, with a high probability of correct classification, when compared to a completely automated recognition criterium.
State Estimation of Common Emitter Amplifier using Iterated Extended Kalman Filters

This paper presents the output voltage estimation of bipolar junction transistor (BJT) common emitter (CE) using iterated extended Kalman filter (IEKF). For this, state space model has been derived using Kirchhoff's current law (KCL) and Ebers-Moll model of the transistor. The performance of IEKF has been compared with extended Kalman filter (EKF). The simulation results show large signal to noise ratio (SNR) and small root mean square error (RMSE) using IEKF as compared to EKF, as IEKF considers the error due to linearization. The advantage of the proposed method is that the derived extended state space equation can be used for parameter estimation of both, the transistor state and transistor parameters as the derivation includes transistor model.
State Evaluation of Electronic Transformers Based on Cross Weight Method AHP

This paper focuses on the problems of frequent faults, abnormal events, and the lack of operational state evaluation means for electronic transformers. Based on a large amount of equipment operation and state data, a cross weight method, namely Analytic Hierarchy Process (AHP), which is driven by experts’ experience and data, is proposed in this paper. This method solves the problem of single factor and low accuracy in the traditional status evaluation method for electronic transformers. In this method, the influence factors and comment sets are established according to the experience of experts and the operation standards. For the construction of weight matrix, a cross-weight method is innovatively proposed. Through a subjective weight assignment of fuzzy trigonometric numbers based on experts’ experience and objective variable weights based on data, the accuracy of the state assessment of electronic transformer is improved. Finally, the proposed method is verified using an example, which shows that it can effectively improve the speed and accuracy of the state evaluation of electronic transformers.
CHARACTERISTICS OF HADAMARD SQUARE OF SPECIAL REED — MULLER SUBCODES

The existence of some structure in a code can lead to the decrease of security of the whole system built on it. Often subcodes are used to “disguise” the code as a “generallooking” one. However, the security of subcodes, whose Hadamard square is equal to the square of the original code, can be reduced to the security of this code. The paper finds the limiting conditions on the number of vectors of degree r whose removing retains this weakness for Reed — Muller subcodes and, accordingly, conditions for it to vanish. For r = 2 the exact structure of all resistant subcodes has been found. For an arbitrary code RM(r, m), the desired number of vectors to remove for providing the security has been estimated from both sides. Finally, the ratio of subcodes with Hadamard square unequal to the square of the original code has been proved to tend to zero if additional conditions on the codimension of the subcode and the parameter r are imposed and m → ∞. Thus, the implementation of checks proposed in the paper helps to immediately filter out some insecure subcodes.
A SOLUTION FOR PRIVACY-PRESERVING DATA SHARING ON PEER-TO-PEER NETWORKS

Digital data, in many fields, such as banking or medicine, must be protected when storing and sharing on Internet. Moreover, in some cases, the integrity of shared data must also be guaranteed such that there is no modification on the shared data. In this paper, we consider the following scenario: a pharmaceutical company which is doing research on a X cancer, broadcasts on Internet that the company wants to buy DNA data of those who have had this X. The questions are: (1) How should a user share securely and anonymously her/his DNA data to the company? And (2) How could the company determine the integrity of received DNA data before paying for an online contract? These problems can be solved based on the blockchain technology. We propose a protocol for guaranteeing the privacy, integrity, and authentication of data sharing on the peer-to-peer network. The designed protocol is a combination of three components, including the blockchain (BC) technology, the interplanetary file system (IPFS), cryptosystems. Data is transferred directly to recipients without using any central system. The information of the data sharing process is published on a blockchain, users can verify the integrity and authentication of the original data but cannot know the content of the data. The experimental results show that our protocol satisfies the security requirements, can easily implement in practice.
Embedded Software Architecture Development in Radar Systems Based on Product Line Approach

In software development processes of radar systems, the development of technology and the variable customer requirements necessitate the application of product line approaches. In this study, the software architecture and design approach for pan-tilt units, which can change frequently in a radar system, is described, together with application experience. Open/closed design principle, adapter design pattern and VxWorks operating system features were used.
A Light-Weight Stream Ciphering Model Based on Chebyshev Chaotic Maps and One Dimensional Logistic

This paper investigates the efficiency of consolidating the stream cipher Salsa20 with chaos theory. Subsequently, an enhanced Salsa20 is presented in this paper using two kinds of chaotic maps (1D logistic map and Chebyshev map). The proposed enhanced Salsa20 (ESalsa20) algorithm is developed to be utilized as a lightweight stream cipher that can be implemented in such a way that the speed of encryption is as important as the security. This enhancement is based on the 1D logistic and Chebyshev functions. The XOR-Boolean operation is used in the chaotic layer of the propped encryption algorithm to increase the scrambling of the secret keys. Generally, histogram analysis of the ESalsa20 algorithm shows robust performance against static attacks. According to the obtained results, the ESalsa20 algorithm achieves the best values of NCC 0.3890752653, NAD 0.3689770561, and UQI 0.3777468183 as compared with the original Salsa20 algorithm. Moreover, it achieves the best values of MSE 6957.49, PSN R 9.7224, and AD 78.3394. and UQI. The proposed ESalsa20 also achieves a fast execution time than the Salsa20. As a result, adding the 1D logistic and Chebyshev functions facilitates achieving an accurate diffusion level and making the cipher faster.
A Recommendation System to Support the Student to Choose a Role in the College Election

Many AI/ML and data analysis-based recommendation systems are being used in various fields like education, e-business, and course selection to invoke the computerized intelligence solutions based on some basic knowledge of domain. In that role recommendations, course recommendations, job recommendations are also considered as one of the challenging tasks to do. Having this role recommendation system for the College Voting system or at university level voting system can be helpful. However, traditional voting needs to break the barrier and use new approaches to motivate students to vote in an effective way. The online voting system is one of the most important and convenient ways nowadays. So, choosing the correct responsibility and role for a candidate is also crucial. For this, the best solution is a recommendation system based on skills. This skill-based recommendation system which focuses on the abilities and interests of candidates and recommends the most suitable role to each candidate. Therefore, the system will illuminate the candidate’s vision for selecting the role unambiguously. Finally, this paper presents an application scenario where the system analyzes and processes the data based on some inbuilt filters and presents the most appropriate solution.
Post-Quantum Cryptography: A Solution to Quantum Computing on Security Approaches

Ever since the initial idea of quantum computing, the quest for processing data faster never took an offspeed. With the invention of Shor’s and Grover’s algorithm, it has given the boost amongst researchers to develop a successful quantum computer that can outperform any classical system available this day. Due to its working principle and different properties of qubits, many of the tasks which are difficult to perform for current systems can be done efficiently using quantum computers. Revolution in computing will breach existing security approaches and lead us to find alternatives to withstand quantum attacks. Post-quantum cryptography is the most promising way to secure our existing digitized world, as it is not based on discrete logarithms and integer factorization concepts. They are based on other hard mathematical concepts that are hard to break in polynomial time. Therefore, tremendous research has been done in the last decade to design stable, efficient, and secure post-quantum cryptographic approaches. Hash-based, code-based, and lattice-based approaches are well understood, and many of their approaches are standardized for practical implementations.
Jules Verne’s ‘Around the World in 80 Days’: Multilingualism, Multiculturalism and Symbols

In this announcement, the various –linguistic and non-linguistic- symbols used in the literary work 'Around the world in 80 days', written by Jules Verne, are examined from an intertemporal and contemporary point of view. The references through these points of view, in matters of multiculturalism and multilingualism, are becoming classical in nature: they concern the necessity of the applied ability to communicate between individuals who belong to different social classes and age groups, speak the same or different languages, come from different cultures, with rights and obligations in their various areas of life, etc. Key-words: linguistics, multilingualism, multiculturalism, semiotics, semiotic systems, symbols
Experimental high-rate multiplexed quantum communication

We introduce a general scheme for increasing secure key rates in entanglement-based cryptography exploiting multiple degrees of freedom. We experimentally exemplify this scheme through spatial and wavelength multiplexing. Scalability of our approach is demonstrated.
The Realization of Direct and Indirect Representative Act by the Panelists of 2019 Atlantic Education Summit

This study aims to analyze the realization of direct and indirect representative act by the panelists of 2019 Atlantic Education Summit. This study is designed as spoken discourse study with qualitative approach. The speech act analysis to discourse by Schiffrin (1994) was employed to analyze how utterances are understood and interpreted based on a certain context. The findings are as follows. In terms of frequency, there were 994 direct representative acts and eight indirect representative acts. The high number of direct representative act is related to the effectiveness and efficiency of communication between the panelists and the audiences. In terms of realization, direct representative act is versatile. It means that direct representative act was realized by the panelists to serve so many different purposes of communication, for example assertion, statement, claim, etc. On the contrary, there are several strategies that were employed to realize representative act indirectly. They are associating the certain word with similar object, using words which have non-literal meaning, and using an indirect strategy. In addition, lack of familiarity and the formality of the context are the sources that affect the realization of indirect representative act.&#x0D; Keywords: Representative act, direct, indirect, panelists
A Computationally Efficient Obstacle Avoidance System for UAV Teleoperation

In spite of the development of autonomy in unmanned aerial vehicles (UAV), some complex missions, which typically require cognition or intuitive decision making, are still beyond the capability of fully autonomous UAVs. Human-robot interaction (HRI) are necessary in these missions. Typical examples could be inspecting machines in factory or taking an aerial shot in cluttered environment. Furthermore, the operators in the aforementioned missions are usually inexperienced in manipulating UAVs. Existing teleoperation systems are usually designed for experienced operators and are unable to preserve purposes of the users. Therefore, it is fundamental to develop a teleoperation system which could integrate human intentions and ensure safety autonomously. In this work, a computationally efficient obstacle avoidance teleoperation system is developed and tested. A sampling-based trajectory planning method is utilized to achieve real-time planning and robust performance. Human intentions are given by a remote control. Besides, different control strategies are chosen in different environments based on distance map entropy to facilitate convenient operation. The whole system is proved to work efficiently and robustly by indoor and outdoor experiments.
Detailing Rule-Based Methods

The previous chapter covered different feature importance methods. Let’s now shift the focus toward different rule-based methods. One advantage of rule-based methods is that apart from giving the important features, these methods also provide the values of those features for easy understanding of why the model made a particular decision. The rule-based methods are easy to understand by both technical practitioners and stakeholders. Let’s investigate some of the rule-based methods.
Analisis Algoritma Shi-Tomasi Dalam Pengujian Citra Senyum Pada Wajah Manusia

Problems in image processing to obtain the best smile are strongly influenced by the quality, background, position, and lighting, so it is very necessary to have an analysis by utilizing existing image processing algorithms to get a system that can make the best smile selection, then the Shi-Tomasi Algorithm is used. the algorithm that is commonly used to detect the corners of the smile region in facial images. The Shi-Tomasi angle calculation processes the image effectively from a target image in the edge detection ballistic test, then a corner point check is carried out on the estimation of translational parameters with a recreation test on the translational component to identify the cause of damage to the image, it is necessary to find the edge points to identify objects with remove noise in the image. The results of the test with the shi-Tomasi algorithm were used to detect a good smile from 20 samples of human facial images with each sample having 5 different smile images, with test data totaling 100 smile images, the success of the Shi-Tomasi Algorithm in detecting a good smile reached an accuracy value of 95% using the Confusion Matrix, Precision, Recall and Accuracy Methods.
An improved cuckoo search algorithm with Stud crossover for Chinese TSP problem#

The travelling salesman problem (TSP) is an NP-hard problem in combinatorial optimization. It has assumed significance in operations research and theoretical computer science. The problem was first formulated in 1930 and since then, has been one of the most extensively studied problems in optimization. In fact, it is used as a benchmark for many optimization methods. This paper represents a new method to addressing TSP using an improved version of cuckoo search (CS) with Stud (SCS) crossover operator. In SCS method, similar to genetic operators used in various metaheuristic algorithms, a Stud crossover operator that is originated from classical Stud genetic algorithm, is introduced into the CS with the aim of improving its effectiveness and reliability while dealing with TSP. Various test functions had been used to test this approach, and used subsequently to find the shortest path for Chinese TSP (CTSP). Experimental results presented clearly demonstrates SCS as a viable and attractive addition to the portfolio of swarm intelligence techniques.
Error Correction of the Continuous-Variable Quantum Hybrid Computation on Two-Node Cluster States: Limit of Squeezing

In this paper, we investigate the error correction of universal Gaussian transformations obtained in the process of continuous-variable quantum computations. When investigating the error correction procedure, we have considered that both the resource GKP state itself and the entanglement transformation are imperfect. In reality, the GKP state has a finite width associated with the finite degree of squeezing, and the entanglement transformation is performed with error. We have considered a hybrid scheme to implement the universal Gaussian transformations. In this scheme, the transformations are realized through computations on the cluster state, supplemented by linear optical operation. This scheme gives the smallest error in the implementation of universal Gaussian transformations. The use of such a scheme made it possible to reduce the oscillator squeezing threshold required for the implementing of fault-tolerant quantum computation schemes close to reality to - 19.25 dB.
Radiometric Dating Sheds Light on Tectonic Debate

The emplacement of the Samail Ophiolite in Oman has been a source of disagreement among geologists. New state-of-the-art research offers a fresh perspective on its timing and geometry.
Collecting the Information Needs of Skilled and Be-ginner Drivers Based on a User Mental Model for a Cus-tomized AR-HUD Interface

The continuous development of in-vehicle information systems in recent years has dramatically enriched drivers’ driving experience while occupying their cognitive resources to varying degrees, causing driving distraction. Under this complex information system, managing the complexity and priority of information and further improvement in driving safety has become a key issue that needs to be urgently solved by the in-vehicle information system. The new interactive methods incorporating the augmented reality (AR) and head-up display (HUD) technologies into in-vehicle information systems are currently receiving widespread attention. This superimposes various onboard information into an actual driving scene, thereby meeting the needs of complex tasks and improving driving safety. Based on the qualitative research methods of surveys and telephone interviews, this study collects the information needs of the target user groups (i.e., beginners and skilled drivers) and constructs a three-mode information database to provide the basis for a customized AR-HUD interface design.
Filling the Tax Gap via Programmable Money

We discuss the problem of facilitating tax auditing assuming “programmable money”, i.e., digital monetary instruments that are managed by an underlying distributed ledger. We explore how a taxation authority can verify the declared returns of its citizens and create a counter-incentive to tax evasion by two distinct mechanisms. First, we describe a design which enables auditing it as a built-in feature with minimal changes on the underlying ledger’s consensus protocol. Second, we offer an application-layer extension, which requires no modification in the underlying ledger’s design. Both solutions provide a high level of privacy, ensuring that, apart from specific limited data given to the taxation authority, no additional information—beyond the information already published on the underlying ledger—is leaked.