Reviewerly/exHarmony huggingface dataset:
An Island Model Genetic Algorithm Approach to Tuning AI Bots

Almost every modern video game utilizes artificial intelligence in some form. Non-player combatants for video games, known as bots, require a large degree of tuning to operate effectively. In current practice, the fine tuning of bot parameters is tediously done by hand. Though in recent years, the application of novel approaches in leveraging the tuning of bots has been an intriguing topic of exploration. In this paper, we modify the values of the bots parameters using genetic algorithm and grade the performance of the parameter configuration with the intention of evolving efficient combatants for the given First-Person-Shooter game mode. We partition the population using the island model and simulate the technique on the Unity game engine. As Unity does not offer standardized bot AI, we implement our own state driven bots using Unity’s extensive AI and physics libraries. The paper explores the feasibility of the island model in gaming and the use of the Unity game engine as a versatile simulation environment.
Discussion on the Combination of VR and the History of Physics Based on Embodied Learning : — Take Galileo’s Research on Free Falling Motion as an Example

Embodied learning, as a hot word in the education field in recent years, provides theoretical support and inspiration for the combination of Virtual Reality (VR) and the history of physics. This paper conducts a discussion based on embodied learning and high school physics curriculum standards in China, taking Galileo's research on Free Falling Motion as an example. We explore the integration of VR and the history of physics, and propose teaching scheme. We aim to build a valuable bridge between modern technology and the history of science, helping students to deeply understand physics history through experience and stimulate their interest in Physics.
Sonifying Data from the Human Microbiota: Biota Beats

Abstract This article presents a musical interface that enables the sonification of data from the human microbiota, the trillions of microorganisms that inhabit the human body, into sound and music. The project is concerned with public engagement in science, particularly the life sciences, and developing cultivation technologies that take advantage of the ubiquitous and accessible nature of the human microbiota. In this article we examine the collaboration between team members proficient in musical composition and those with expertise in biology, sonification, and data visualization, producing an individualized piece of music designed to capture basic biological data and user attention. Although this system, called Biota Beats, sonifies ubiquitous data for educational science projects, it also establishes a connection between individuals and their bodies and between a community and its context through interactive music experiences, while attempting to make the science of the human microbiome more accessible. The science behind standardizing sonified data for scientific, human analysis is still in development (in comparison to charts, graphs, spectrograms, or other types of data visualization). So a more artistic approach, using the framework of musical genres and their associated themes and motifs, is a convenient and previously established way to capitalize on how people naturally perceive sound. Further, to forge a creative connection between the human microbiota and the music genre, a philosophical shift is necessary, that of viewing the human body and the digital audio workstation as ubiquitous computers.
Multi-User System for Remote Access to the Resources of the Educational Computer Cluster Based on Single Board Diskless Computer Raspberry PI 3 Model B as a Service

For teaching students in the course on "Parallel Computing", the idea of building an educational computing cluster based on single-board computers is relevant. This cluster should provide multi-user remote access for the simultaneous interaction of a group of students with it in order to carry out a laboratory practice in the above discipline. The paper presents the general structure of a cluster based on 64 single-board computers Raspberry Pi 3 Model B with an individual power module for rebooting each cluster node separately. Provided remote access to the cluster with LDAP authorization and authentication, as well as diskless boot of the operating system. This article describes the organization of a network with a division into a cluster management network and a data network. Due to the easy scalability of the considered configuration, this cluster has great prospects for daily use and subsequent modernization.
Review of Statistical Concepts

We review the basic statistical concepts that we need in later chapters; most of the material is covered in a typical introductory statistics course. We introduce the normal and related distributions, estimators and confidence intervals, and hypothesis testing. We emphasize the role of effect sizes and estimation over dichotomous testing outcomes, and the importance of interpretation of results informed by subject-matter knowledge.
HerQules: securing programs via hardware-enforced message queues

Many computer programs directly manipulate memory using unsafe pointers, which may introduce memory safety bugs. In response, past work has developed various runtime defenses, including memory safety checks, as well as mitigations like no-execute memory, shadow stacks, and control-flow integrity (CFI), which aim to prevent attackers from obtaining program control. However, software-based designs often need to update in-process runtime metadata to maximize accuracy, which is difficult to do precisely, efficiently, and securely. Hardware-based fine-grained instruction monitoring avoids this problem by maintaining metadata in special-purpose hardware, but suffers from high design complexity and requires significant microarchitectural changes.
Variability in Data-Intensive Systems: An Architecture Perspective

In this chapter, we discuss variability in data-intensive systems. We first provide an overview of why variability matters for such systems. Then, we explore variability in data-intensive systems from a software architecture perspective and discuss potential high-level solutions to addressing variability in data-intensive systems. Here, we first investigate reference architectures as a more traditional way of managing variability. We then discuss more technology-oriented approaches, including cloud computing and related concepts. Finally, we discuss serverless architectures as a more recent trend in software engineering and how it relates to variability in data-intensive systems. We conclude the chapter with a brief reflection on ethical considerations related to variability in such systems.
Query and Verification of Encrypted Data Based on Blockchain in Multi-user Scenario

In the rapid development of modern information, data security is particularly important, in the face of important data, the common server is difficult to complete the effective protection of the plaintext data, the importance of data encryption is therefore reflected. But the traditional ciphertext data is difficult to query, and the relational index query ciphertext data also has the risk introduction of being tampered, thus losing the significance of encrypted storage. Therefore, we choose to use blockchain to store indexes and summaries of encrypted data. So as to realize the data query and verification. But the traditional decryption method has the problem of occupying a lot of resources, for the above problems, we choose to use cloud computing to solve.
Protection of Lightning Indirect Effect for Power Supply System for Flight Test Equipment of C919 Airplane

In this paper, lightning indirect effect analysis and protection research on power supply system of C919 test equipment are carried out. The requirements and process of lightning indirect effect protection in power supply system of test equipment and the corresponding lightning test levels are determined. Analyzing the response of the system during pulse injection of different test levels, comparing with the response of the system under normal operation and device tolerance, it is found that lightning pulse impact the system seriously, causing surge peak, seriously affecting the normal work of the system. The interface protection circuit of the system is designed by using the transient suppression device. The results show that the transient voltage suppression diode (TVS) and voltage sensitive resistor (MOV) in parallel between the power supply and the system equipment, together with the series inductance, can effectively suppress the surge spike caused by lightning pulse, keeping all signals within the normal working range, namely the designed interface protection circuit has a good effect on lightning indirect effect protection of power supply system of test equipment.
Use of the research-oriented approach and its technologization in training of tertiary students majoring in philology

The study explores how technological advances incorporated into the Philology Studies curriculum could impact students’ research skills and quality of research projects and what students’ and teachers’ impressions of the reshaped research component of the curriculum were. Qualitative and quantitative methods were used. It employed the baseline study, checklist to assess students’ research papers, assessment criteria, and the Triangular Assessment Method to assess papers. The consensus meeting was held to express reasoning for the scores. The semi-structured interview was administered to identify impressions of the reshaped research component of the curriculum of philology. The technological advances incorporated into Philology Studies curriculum improve the research skills and the quality of their research projects. Both students and teachers appreciated the reshaped research component of the curriculum. The analytical software can be successfully incorporated in the corpus analysis-purpose student research. The students found the intervention a challenging experience that ‘pumped up’ their skills. They reported improvement in interpreting corpus using correlations, frequencies, distributions, and collecting information using software to organize it in a professional way. The lecturers agreed that the technology-based instructional model incorporated into Philology Studies curriculum improved both students’ research skills and the quality of their research projects.
Exploiting Spatiotemporal Features for Action Recognition

Action recognition from videos is important due to its numerous applications in real life scenarios. Most commonly action recognition is used for surveillance but it is also used in other applications such as entertainment and gaming. Moreover, due to high demand of automation and easy availability of higher processing power, researchers are aiming for better ways to accurately classify human actions using videos. Different methods have been proposed in literature in order to identify actions. However, most of these methods suffer from limitations such as implementation complexity and inability to recognize complex actions. In this paper, we propose a novel action recognition technique which is easy to implement and is robust to complex actions. While there are different methods to capture motion, trajectories based methods have proven to be an excellent way to represent motion in videos. Inspired by that, we sampled dense points in different frames of the video to track down their displacement information to encode the trajectories. We used dense trajectories along with oriented gradients and motion boundary information as features. We use codebook generated using Gaussian mixture model and Fisher vector to encode our features. Finally, after reducing the dimensionality of our data, we use linear Support Vector Machine to identify the actions. The experimental evaluations performed on a recent benchmark action recognition dataset showed that our method is able to achieve encouraging results compared to other competing methods.
DESIGN AND IMPLEMENTATION OF THE INFORMATION SEARCH SYSTEM "GRADUATE"

One of the ma­in in­di­ca­tors of the ra­ting of Uk­ra­ini­an uni­ver­si­ti­es is the qua­lity of pre­pa­ra­ti­on of fu­tu­re grad­ua­tes. The qua­lity of the grad­ua­te's tra­ining may be ref­lec­ted with a pos­si­bi­lity of his employ­ment. It is im­pos­sib­le to track ca­re­er growth of grad­ua­tes wit­ho­ut cre­ati­on of centra­li­zed in­for­ma­ti­onal sto­ra­ge to co­ver this pro­cess as well as pos­si­bi­lity for grad­ua­te to in­put in­for­ma­ti­on abo­ut his employ­ment. Ma­in aim of cre­ati­on of in­for­ma­ti­on se­arch system grad­ua­te was to pro­vi­de dif­fe­rent de­partments of Uk­ra­ini­an uni­ver­si­ti­es with softwa­re so­lu­ti­on which co­uld sto­re grad­ua­tes re­la­ted in­for­ma­ti­on. To cre­ate the softwa­re so­lu­ti­on and ac­hi­eve the go­als, a web-ba­sed system was de­ve­lo­ped that runs on a cli­ent-ser­ver archi­tec­tu­ral templa­te with cli­ent si­de cre­ated as single pa­ge appli­ca­ti­on, appli­ca­ti­on dep­lo­yed on Win­dows Web Ser­ver 2016. The system inclu­des: cli­ent-ser­ver appli­ca­ti­on for use by de­partment staff and grad­ua­tes; functi­ona­lity for fil­ling the da­ta­ba­se (da­ta­ba­se) with new grad­ua­tes of the de­partment, and up­da­ting of al­re­ady exis­ting re­cords abo­ut grad­ua­tes; functi­ona­lity ex­po­sed for de­partments staff with se­arch for grad­ua­tes with in­for­ma­ti­on abo­ut the­ir stud­ying in uni­ver­sity; sta­tis­ti­cal in­for­ma­ti­on on grad­ua­tes ba­sed on se­lec­ted cri­te­ria; functi­ona­lity for grad­ua­tes to up­da­te ca­re­er in­for­ma­ti­on and ac­hi­eve­ments. For gi­ven softwa­re so­lu­ti­on re­la­ti­onal da­ta­ba­se was de­sig­ned and ex­po­sed with the help of MS SQL Ser­ver ca­pa­bi­li­ti­es. The system was de­ve­lo­ped with the help of C # prog­ram­ming lan­gua­ge, using ASP.NET Co­re techno­logy in par­ti­cu­lar for bac­kend, for front-end – user-fri­endly in­ter­fa­ces using HTML, CSS 3, and Ja­vaScript ba­sed on Re­act lib­rary and JSX ex­ten­si­on, with ele­ments of the Bo­otstrap lib­rary.
Entropy of temporal entanglement

A recently proposed history formalism is used to define temporal entanglement in quantum systems, and compute its entropy. The procedure is based on the time-reduction of the history density operator, and allows a symmetrical treatment of space and time correlations. Temporal entanglement entropy is explicitly calculated in two simple quantum computation circuits.
Website-Based National University Lecturer Payroll Process System Design: Website-Based National University Lecturer Payroll Process System Design

The study discusses the making of a system for processing lecturer salaries, currently, payroll at the National University is carried out using an offline payroll system for calculating lecturer salaries, the existing system at the National University is actually optimal in conducting lecturer salaries, but still has shortcomings because it is not can be done online, especially in situations pandemic covid 19 like this which are recommended for wfh (work from home) by the government, but the admin at the bsdm must keep coming to work, therefore the author aims to create a website-based payroll system using PHP Framework Codeigniter (CI) and Mysql database, which can facilitate the admin to do the payroll process that can be done anywhere and anytime.
Adversarial Attack on Video Retrieval

Recently adversarial examples have been reported to reveal the fragility of deep learning models. However, most adversarial attacks focus on classification task and less attention has been paid to retrieval task. In this paper, we are the first to investigate adversarial examples on the video retrieval system in both non-targeted and targeted attack terms for copyright protection. Specifically, a triplet scheme is developed to take query-relevant and query-target pair-wise relationships together to enhance the attack performance. We evaluated the proposed method on the most commonly used video retrieval dataset CC_WEB_VIDEO, and successfully attack three popular video retrieval systems.
Indoor path-planning for a tracked mobile robot using Dijkstra's algorithm and Ros

A lot of research has recently been performed on mobile robots because of their value in human life. In various applications and areas, robotics are used. Maintaining the robot's protection and accessibility is important. If the robot doesn't always enable self-recovery, it will not be able to attain its target. This paper studies a tracked mobile robot control and path planning using the dijkstra's algorithm. Robot Operating System (ROS) is the software prototyping platform. The robot's basic mission and its control mechanism is explained. The analysis is carried out using three ultrasonic sensors requiring a low-effort framework enabling exploration in the robot route zone. In a simulated environment, the presented method was verified and the results showed successful path planning with obstacles avoidance.
A Novel Image Encryption Technique Using Multiple One Dimensional Chaotic Map

In cryptography, chaotic systems are commonly used for image encryption due to the complex properties of chaos such as sensitivity to initial conditions, unpredictability, and ergodicity. An image encryption method using one-dimensional chaotic maps and Josephus permutation sequence is depicted in this paper. The keystreams required for the encryption process are generated from one-dimensional chaotic maps. Double scrambling operation is proposed in the pixel permutation phase to enhance security. Josephus permutation sequence is used in the first level scrambling. For the second level of scrambling, a novel method is implemented using the keystream generated from a chaotic tent map. Also, the keystream generated from the logistic map is used in the substitution phase. Experimental results and security analysis shows that the proposed encryption scheme can resist various attacks and ensures high security.
Development of Image Dehazing Algorithm

In recent years, image dehazing algorithm has been widely used in the preprocessing of advanced computer tasks, such as target tracking and pattern recognition. The traditional image dehazing algorithm, which relies on the atmospheric scattering model, realizes fast dehazing by means of image enhancement and image restoration, but its application scope is very limited. In the data-driven mode, a large number of researches directly establish the mapping relationship between haze image and clear image, and obtain better effect on the synthetic dataset. However, how to make the dehazing network more suitable for the real haze dehazing is still an urgent problem to be solved. Therefore, weak supervision is applied in this field.
Design and Implementation of Project Based Curriculum under "1 + X" Certificate System-“Machining Technology” Course as an Example

1 + X certificate system is to connect and integrate the academic certificate reflecting the socialization level and several kinds of vocational skill level certificate reflecting the comprehensive ability level of enterprise occupation post. By referring to the national vocational post skill standard, the school and the enterprise cooperate deeply, and the teachers and enterprise tutors jointly teach, and focus on the cultivation of students' post skills. With the exploration of 1 + X certificate system pilot project, Ningbo Vocational and technical college adopts the course mode based on enterprise working process and school enterprise cooperation to reform the course of "mechanical processing technology". It takes enterprise selected project as the work task of students, takes the machining of mechanical parts as the core, and combines the processing of typical parts with the actual working post of the enterprise and the national vocational post skills The combination of the post qualification and the national vocational standards should be emphasized.
Ontology Based Multilingual System with Multilingual Chat

Need of today’s world is to develop systems that can facilitate effective communication around the world. As we human’s need a language to communicate with each other we needed a common language which is understandable by majority of the users, because of this reason we were using English as world’s communication language. English was used mainly because it is one of the easiest languages to learn compared with other languages and second reason was that English was already present in most of the world’s societies due to the colonial history shared by many of the countries. Even with English there still are many difficulties in communication between people and often it causes miscommunication because the level of expressivity and fluency someone has on his/her mother tongue is difficult to achieve on any other language including English. Keeping the above discussed problem, we are working towards a multilingual chat system that will allow people from different societies and different mother tongue which will make inter language communication effective and more expressive as people are using a language in which they are more comfortable. In this work we are using ontology as repository of the information and LabelTranslator to provide appropriate translation of the concepts of available ontology into other languages keeping lexical and semantics properties in mind, though this we will be able to provide better mapping between the same concept represented in different languages, which will facilitate the removal of ambiguity from the meaning of sentences.
Fringe pattern denoising based on robust principal component analysis

Fringe projection profilometry (FPP) is a non-contact, high-precision technique for measuring three-dimensional (3D) shapes. An essential step of FPP is to recover the phase distribution from the deformed fringe patterns. In real applications, the captured fringe patterns often suffer from noises, which results in degradation of the performance of phase retrieval and shape reconstruction. Fringe denoising can be applied to suppress the influence of noise in FPP. This paper introduces a novel fringe denoising method based on robust principal component analysis (RPCA). The proposed method makes use of the low-rankness of the clean fringe patterns and the sparsity of the strong impulsive fringe noise. RPCA is then applied to effectively mitigate the strong impulsive fringe noise and suppress the random additive noise. The proposed method features 2D processing of the fringe patterns and is easy to implement. Its effectiveness is demonstrated via numerical simulations.