Reviewerly/exHarmony huggingface dataset:
An improved genetic algorithm for the virtual machine placement problem

The dramatically increasing energy consumption of data centres is an important issue. Server consolidation is now regarded as one of the most effective ways to reduce the energy consumption in data centres. Server consolidation can be formulated as a Virtual Machine (VM) placement problem, and Genetic Algorithm (GAs) have been used to find an optimal solution to the VM placement problem. However, the slow computation time is a main concern of the GAs. This paper aims to improve the efficiency of the GAs. In this paper, we propose a new GA, namely Improved Genetic Algorithm (IGA), which is a GA enhanced by a new Initial Population Generation Strategy (IPGS), a new Knowledge-based Crossover Strategy (KCS), and a new Knowledge-based Mutation Strategy (KMS). Extensive experiments are conducted to illustrate the efficiency of the IGA.
Efficient and Robust Emergence of Conventions through Learning and Staying

In a multi-agent system (MAS), conventions serve as an effective mechanism to reduce frictions among agents and hence solve coordination problems. Convention emergence studies how agents’ behavior patterns give rise to conventions and how efficiently a convention forms. In a networked MAS, the question focuses on how conventions can arise when the agents’ positions are constrained. In this paper, we investigate convention emergence under the multi-player synchronous interaction model in networked MASs. In particular, we focus on the scenario that the agents is not informed the actions played by other agents, and the only information agents can perceive is whether an interaction is success or not. To facilitate the emergence of conventions, we propose a novel approach, namely Win-Stay-Lose-Learn (WSLL), to solve the problem of no observation and shorten the action transformation time when convention seeds conflict among agents. We conduct experiments to verify the robustness and effectiveness of our proposed method, experimental results show that our method outperforms other baseline approaches in terms of convergence speed under various circumstances.
ANALYSIS OF DEPENDENCES BETWEEN UTILIZATION OF MOBILE TECHNOLOGIES IN MATH EDUCATION AND STUDENTS’ TECHNICAL BACKGROUNDS

ANALYSIS OF DEPENDENCES BETWEEN UTILIZATION OF MOBILE TECHNOLOGIES IN MATH EDUCATION AND STUDENTS’ TECHNICAL BACKGROUNDS
Who owns your face?

Smart doorbells containing cameras can be fun, but we can't be sure what pictures of our faces are used for – and that's just the tip of the iceberg, writes Annalee Newitz
Optimization of Adaptive Lighting Technology Based on Varying-Frequency Sinusoidal Grating Projection

In order to enhance the image quality of multi-reflective 3D scenes during machine vision analysis, an active self-adaptive illumination system to solve the overexposure and underexposure problems is introduced. Based on projector-camera system, adaptive illumination was achieved by modulating the projection brightness at each pixel to be proportional to the pixel brightness of the target scenes, which should firstly establish the accurate pixel correspondence between the projector and camera. In this paper, the performance of adaptive illumination is improved by optimizing the correspondence stage compared with previous research. Different grating patterns with different frequency components are projected and compared to acquire the most effective correspondence, which improves the accuracy of corresponding depth map and the experiment results can achieve higher lighting accuracy reducing the number of iterations as well as the computing time. The image quality indexes, image contrast and number of saturated or dark pixels, are combined to analyze and judge the optimized lighting result. The results demonstrate that the developed technology in this research can achieve a rate of 20 frames per second by using a standard commercial CCD (charge coupled device) camera, where it can run in real time and becomes a viable solution for the industry.
PEDAGOGICAL DESIGN OF OPEN EDUCATIONAL RESOURCES FOR HUMANITY STUDENTS OF UNIVERSITIES IN RUSSIA

1 Kazan Federal University (RUSSIAN FEDERATION)2 International Academic Centre for Language and Development (RUSSIAN FEDERATION)3 Kazan State Power Engineering University (RUSSIAN FEDERATION)
Training Generative Adversarial Networks from Incomplete Observations using Factorised Discriminators

Generative adversarial networks (GANs) have shown great success in applications such as image generation and inpainting. However, they typically require large datasets, which are often not available, especially in the context of prediction tasks such as image segmentation that require labels. Therefore, methods such as the CycleGAN use more easily available unlabelled data, but do not offer a way to leverage additional labelled data for improved performance. To address this shortcoming, we show how to factorise the joint data distribution into a set of lower-dimensional distributions along with their dependencies. This allows splitting the discriminator in a GAN into multiple sub-discriminators that can be independently trained from incomplete observations. Their outputs can be combined to estimate the density ratio between the joint real and the generator distribution, which enables training generators as in the original GAN framework. We apply our method to image generation, image segmentation and audio source separation, and obtain improved performance over a standard GAN when additional incomplete training examples are available. For the Cityscapes segmentation task in particular, our method also improves accuracy by an absolute 13.6% over CycleGAN while using only 25 additional paired examples.
Data hiding in medical images using encryption and steganography techniques

This paper presents securing the transmission of medical images over the Internet. The presented algorithms will be applied to medical data. This work presents a method that combines encryption, steganography and compression techniques for data transmission purpose. In this paper, for the sender side, the secret text will be encrypted using Advanced Encryption Standard algorithm and embedded into the chosen cover image using Least Significant Bit algorithm for more security. A stego-image will be generated and compressed using Discrete Cosine Transform to reduce the size of stego- image in order to save storage. In the receiver side, the inverse methods will be implemented in reverse order to get the cover image along with the secret text. MATLAB simulation tool is used to implement the chosen technique and also for further development. In the end of this research, the performance of the algorithm will be assessed in the aspect of mean square error and peak signal noise ratio to compare the results of the chosen method.
GPU Acceleration of Ciphertext-Policy Attribute-Based Encryption

With the development of cloud computing, data security became popular in recent decades. However, traditional cryptography has some major limitations. For example, public key cryptography is not scalable in cases with many clients. Since Ciphertext-Policy Attribute-based encryption (CP-ABE) was developed in 2007, it has become as one of the major candidates to implement secure cloud storage. However, CP-ABE still cannot play a solid role due to its several limitations such as complexity of computation, lack efficiency revocation function, etc. This paper will review the CP-ABE and analyze the current CP-ABE toolkit. Major performance bottleneck will be identified and parallelized in CUDA. CP-ABE toolkit will be partially ported to GPU platform for acceleration. Some experiments have been conducted to demonstrate the effectiveness of the proposed approach.
Strategi Keberlangsungan Usaha Wayang Kardus Di Kecamatan Bulukerto Kabupaten Wonogiri Tahun 2019

Bulukerto Subdistrict is a sub-district of producing cardboard puppets. Bulukerto sub-district used to be in almost every village of cardboard puppet craftsmen but due to the fading culture, the culture of wayang was less in demand, causing the production of craftsmen to decline and many craftsmen changed professions. The number of cardboard puppet craftsmen from year to year has decreased in terms of craftsmen and production. This study aims to determine the characteristics of the cardboard puppet business in Bulukerto Subdistrict, the development of the cardboard puppet business, analyze the constraints faced by craftsmen and describe the survival strategy of cardboard puppet craftsmen. This research method uses survey, using saturated sampling method. Sampling with saturated sampling method because the total population is less than 30 people, at least the total population, the researchers used a total sampling method that is the entire population to be craftsmen to be observed as a sample. The results of the study 1) The characteristics of the cardboard puppet business in Bulukerto Subdistrict were 2 namely the first characteristics of craftsmen in the form of gender, craftsman age, latest education, marital status. The second characteristic of cardboard puppet business in the form of its origin, time to pursue business, venture capital, labor, competitor's location, stages of making cardboard puppets, areas of origin of raw materials, and marketing. 2) The development of the wayang cardboard business in Bulukerto District covers the embryo of the business, the glorious period, the first ebb period, the period of awakening, the second ebb period. 3) cardboard puppet constraints in Bulukerto District include capital, raw materials, human resources, weather. 4) survival strategies of cardboard puppet craftsmen in Bulukerto District include raw material strategy, innovation strategy of adding puppet figures, marketing strategy, pricing strategy.
AI Health Applications and Related Intellectual Property Challenges

Life and medical sciences was not the first field where artificial intelligence (AI) was used but it is without doubt currently one of the sectors where it is being applied most actively. Bioinformatics, biological engineering and physiological monitoring are among the areas benefitting from the good health of AI. The main intellectual property (IP) issues posed are whether AI systems themselves or the resulting works and assets generated by AI are eligible for IP protection and, if so, under what categories and conditions. The answers depend naturally on the characteristics of each piece of work and the type of IP right considered. In the case of advanced algorithms for machine learning, deep learning and neural networks (as the most common techniques employed in AI), even though there is no specific IP protection for algorithms, there is nothing to prevent them, from a theoretical point of view, from being considered for IP protection when they are applied to a technical problem or field or provide a specific technical implementation. However, obstacles to IP protection of AI clearly exist. These challenges are even greater in the life sciences sector, which is much more used to chemicals and long patent protection than to the breakneck speed of AI evolution and its complex IP protection requirements. The solution to these challenges may be a form of simultaneous protection through a mixture of different categories of existing IP. Whatever the outcome, this is an important exercise. While we have extraordinary AI talent in Europe, our IP figures for AI lag far behind those of other very active regions.
The Influence of Participation in Post-school Physical Education Program on Physical Self-Concepts and Mental Health in High School Students

The study was conducted on 78 students attending post-school physical education programs among dormitories at U High School in Uiwang, Gyeonggi. After looking at the effects of participation in post-school physical education programs on physical self-concepts and mental health of high school students, the following conclusions were reached. First, looking at the effects on physical self-concepts, sports ability, body fat, physical activity, flexibility and endurance showed significant differences in p0.001, appearance and health showed significant differences in p0.002, and self-esteem and muscle power showed significant differences in p0.000. Second, looking at the effects on mental health, the results showed a significant difference in p0.000 in both depression, anxiety and interpersonal sensitivity. Considering the above results, participation in post-school physical education programs has a positive effect on students
Correction сodes in the system of residual classes = Корекційні коди в системі залишкових класів

Krasnobayev V.A. Correction сodes in the system of residual classes / V.A. Krasnobayev, А.S.Yanko, A. Kuznetsov, K. Kuznetsova // 2019 6th International Scientific-Practical Conference Problems of Infocommunications. Science and Technology (PIC S&T 2019). – Kiev, 2019. – P. 489-493.
A Cognition Platform for Joint Inference of 3D Geometry, Object States, and Human Belief

Author(s): Yuan, Tao | Advisor(s): Zhu, Song-Chun | Abstract: Humans can extract rich information from visual scenes, such as the 3D locations of objects and humans, the actions of humans, the states of objects, the belief of humans. Although various state-of-the-art algorithms can achieve good results for solving individual tasks, building a system to jointly infer these different tasks for scene understanding is still an underexplored area. Most of these tasks are not independent with each other, and humans can jointly infer hidden information with their commonsense knowledge among these tasks. In this dissertation, we propose a spatio-temporal framework to jointly infer and optimize multiple tasks across different times and views with a unified explicit probabilistic graphical representation.This dissertation contains four main parts. 1) we describe the system overview, the data flow in the system, and engineering efforts to make the system scalable under different scenarios. 2) we propose an algorithm for holistic 3D scene parsing and human pose estimation with human-object interaction and physical commonsense. Human-object interaction can model the fine-grained relations between agents and objects, and physical commonsense can model the physical plausibility of the reconstructed scene. 3) we introduce a joint parsing framework that integrates view-centric proposals into scene-centric parse graphs that represent a coherent scene-centric understanding of cross-view scenes. 4) we present a joint inference algorithm to understanding object states, robot knowledge, and human beliefs under multi-view settings by maintaining three types of parse graphs. The algorithm can be applied to the cross-view small object tracking problem and some false-belief problems. Experiments show that our joint inference framework can achieve better results than individual algorithms.
Pengamanan Pesan Teks E-Mail Menggunakan Metode Algoritma Bifid Dan Feedback Cipher

One of the most widely used internet applications is electronic message sending, called e-mail. As time goes by, sending messages via e-mail becomes one of the important things. But there are some threats that do not know when using e-mails such as eavesdropping on e-mail contents, changing e-mail contents by unauthorized people and making e-mails no longer authentic. The technique of securing text messages or data is known as cryptography. In cryptography there are several methods that are quite important in securing data, to maintain data confidentiality one of which is encryption (coding). Decryption (original text) of one of the cryptographic algorithms, namely bifid cipher and feedbak cipher. Bifid cipher was first discovered by Felix Delastelle in 1901. Bifid cioher encrypts by randomizing the position of the row and column of letters in the message that corresponds to the 5X5 square key board while the Cipher Feedback Method uses the Shift Register system, which is processed first is the Initialization Vector in the Encryption with Key algorithm. After processing, the resulting bits will go through a bit selection process, usually the leftmost bits, then encrypted with Plaintext to produce the Ciphertext. By applying a combination of the two algorithms, the bifid cipher algorithm and the feedback cipher, it is expected that the message sent in the e-mail will be coded so that unauthorized parties do not know the meaning of the message being sent. And can maintain the authenticity of the messages sent
Adopting Continuous Improvement to Achieve Strategic Success

T he research aims to identify and diagnose the dimensions of continuous improvement and the dimensions of achieving strategic success with an indication of the impact of their relationship in the hotel organizations to the degree of excellent (Deluxe) in the city of Baghdad, has been formulated the problem of research several questions focused on the relationship between the variables of research, and the research was based on a certain hypothesis was subjected The research included methodology of descriptive analysis, the research included a segment of senior management in hotel organizations for the excellent degree of the city of Baghdad, consisting of (80) managers, where they were all retrieved, and after the use of statistical program ready (SPSS) Several conclusions were reached including: that there is a statistically significant relationship between the variables of research (continuous improvement and achieving strategic success) and the results are identical with the hypothesis and the research also reached a number of recommendations, the most important of which was: the need to develop practical programs for continuous improvement with work and emphasize the dissemination of the concept A culture of continuous improvement.
Traceable Dynamic Public Auditing with Identity Privacy Preserving for Cloud Storage

In cloud computing era, an increasing number of resource-constrained users outsource their data to cloud servers.Due to the untrustworthiness of cloud servers, it is important to ensure the integrity of outsourced data.However, most of existing solutions still have challenging issues needing to be addressed, such as the identity privacy protection of users, the traceability of users, the supporting of dynamic user operations, and the publicity of auditing.In order to tackle these issues simultaneously, in this paper, we propose a traceable dynamic public auditing scheme with identity privacy preserving for cloud storage.In the proposed scheme, a single user, including a group manager, is unable to know the signer's identity.Furthermore, our scheme realizes traceability based on a secret sharing mechanism and supports dynamic user operations.Based on the security and efficiency analysis, it is shown that our scheme is secure and efficient.
Future of Democracy: Blockchain Voting

Today, elections are one of the most important means of sustaining democracies. Due to the opportunities brought by technology, the necessity of making the elections in the physical environment is decreasing with each day. Instead, the issue of making elections in electronic environment is becoming more and more popular. With the emergence of Blockchain technology, the security of the elections in the electronic environment has also been ensured to a great extent. On the other hand, moving the election system to the electronic environment will eliminate the physical costs, ensure the election security in the authoritarian regimes by eliminating the central authority through blockchain, and increase the participation rates in the elections due to the fact that people can vote from any place with internet access. One of the most important elements in the block chain-based voting system is the connection between the voter and the vote, in other words the user privacy. Various cryptological methods are used to break the connection between the user and the vote which anonymizes the user completely. ElGamal cryptology, mix-nets and zero knowledge proof method are some of these. In this article, voting systems from the past to the present will be examined and as an alternative block chain-based voting system will be examined and a sample block chain-based voting system concept will be introduced.
Sistem Pendukung Keputusan Menentukan Lokasi Rumah Burung Walet (RBW) Menggunakan Metode AHP dan SAW

Swallow's nests are sold as ingredients for soups and raw materials for medicines. Because the price of swiftlet nests is very expensive so many people have started to build a swallow bird house (RBW) by spending a considerable amount of money for swallow bird cultivation. But to build RBW and grow swallow birds requires an exact and optimal location. This study aims to create a system for determining the location of a computerized swallow house construction by implementing the Analytic Hierarchy Process (AHP) method and the Simple Additive Weighting (SAW) method in determining the exact location of swallow bird house construction to reduce the level of loss and error in site selection. The AHP method is used in estimating the value of each parameter that is determined while the SAW method is used in assessing levels. Based on the 6 criteria for swallow bird locations, namely location height, distance from the city center (industry), air temperature, distance from rice fields / plantations, distance from waterways, and distance from other buildings, the decision support system built can be a choice of solutions to facilitate farmers and swallow nest entrepreneurs in determining the exact and optimal location of swallow bird houses.
ANALYSIS OF STUDENTS’ PROFICIENCY ON ENGLISH PRONUNCIATION USING YOUTUBE-BASED VIDEO MEDIA

Pronunciation is a fundamental element in English required by students in order to succeed in speaking and writing. From preliminary studies, preliminary information wasobtained that the ability of students’pronunciation in English is still low and that they often have difficulty in pronouncing vocabulary is another problem faced in schools both by students and teachers. If students cannot pronounce vocabulary clearly and precisely, it might cause misunderstandings so that it is possibly bother both written and oral communication with other speakers. Other problems are the selection of media and learning methods that are not appropriate. Based on the results of current research, English pronunciation learning through an effective media and up-to-date approach can improve students' abilities so that these problems need to be addressed. Therefore, the use of YouTube-based video media is strongly believed to improve students' pronunciation skills. Learning English with appropriate methods in order to improve students 'pronunciation skills is highly needed so that teachers are expected to be able to provide enjoyable learning experiences through YouTube-based media with appropriate methods so that students' pronunciation skills improve. This study aims at providing an alternative teaching of English pronunciation skills for students in junior high school through the use of YouTube-based video media with relevant activities. This research was conducted using a mixed method approach; quantitative in the form of quasi-experimental and qualitative. Quantitative data sources from the pre-test and post-test conducted to find out whether the use of YouTube-based video media can improve the pronunciation of the eighth year students of SMP 2Mesjid Raya or not. In addition, qualitative data is also needed as a clarification of test results derived from field notesand interview. The results of the study indicate that there is a significant improvement from pre-test to post-test on students' ability in English pronunciation through the use of YouTube-based video media where the Sig or P Value is 0,000 <0.05. Keywords: Pronunciation, Media, YouTube-based, Video, English