Reviewerly/exHarmony huggingface dataset:
New paradigms and challenges of social life in the information and digital era

The information-digital era has led to the emergence in our social life of a number of new paradigms - social standards and patterns of behavior, new values and beliefs that are implemented in all spheres of society. The paper aims to analyze the emerging paradigms regarding the changes they introduce in our social lives and threats brought about by these changes. The authors analyze such paradigms as a new attitude to information, the introduction of digital technologies, changes in the qualification level of the workforce, new features of the lifestyle, and a change in spatial behavior. It is concluded that each paradigm introduces behavioral standard modifications to social life and makes social activity easier in terms of physical costs. At the same time, each new paradigm simultaneously generates new challenges for a person: problems of selecting information and assessing its reliability, arising information inequality, underdevelopment of digital culture, a shortage of relevant specialists, and the disappearance of a number of professions. Overall, the authors view these challenges as inevitable consequences of growth that humanity must explore and learn to overcome.
Machine Learning For Planetary Mining Applications

Robotic mining could prove to be an efficient method of mining resources for extended missions on the Moon or Mars. One component of robotic mining is scouting an area for resources to be mined by other robotic systems. Writing controllers for scouting can be difficult due to the need for fault tolerance, inter-agent cooperation, and agent problem solving. Reinforcement learning could solve these problems by enabling the scouts to learn to improve their performance over time. This work is divided into two sections, with each section addressing the use of machine learning in this domain. The first contribution of this work focuses on the application of reinforcement learning to mining mission analysis. Various mission parameters were modified and control policies were learned. Then agent performance was used to assess the effect of the mission parameters on the performance of the mission. The second contribution of this work explores the potential use of reinforcement learning to learn a controller for the scouts. Through learning, these scouts would improve their ability to map their surroundings over time.
Motion and Task Planning for Mobile Robot Navigation Under Uncertainty

Author(s): Kan, Xinyue | Advisor(s): Karydis, Konstantinos | Abstract: The efficacy and efficiency of mobile robots in real-world applications are challenged by the presence of uncertainty embedded within the environment or the task. This dissertation provides algorithmic solutions for safe and reliable motion and task planning to strengthen the performance of robots while operating under uncertainty. The dissertation's specific focus is threefold: exploration and coverage of unknown regions for information retrieval, handling untrustworthy or inaccurate prior information regarding both the environment and the task during task execution, and navigation in unseen environments.In the first focus direction, we develop online hex-decomposition-based motion planning algorithms, which address the problem of how to distribute one or a team of mobile robots to explore an unknown, obstacle-cluttered environment cognizant of mobility and sensing capabilities. Here the goal is to fully explore and cover and environment using smooth and continuous paths for robots with non-holonomnic constraints. In the second focus direction, we propose a new stochastic task planning approach that jointly determines optimal task allocation given approximate prior information and expected (yet uncertain) task cost, and decides an optimal stopping time to avoid exceeding given capacities. In the third focus direction, we propose a learning-based method to find feasible, efficient paths for robots to reach the designated task location safely without access to a map of the operating environment. In addition, minimalistic neural network architectures, capable of fulfilling the objective of obstacle prediction, are identified. Together, these three components advance the state-of-the-art in motion and task planning for robot navigation under uncertainty. Moreover, the proposed approaches are scalable and online, hence they can benefit applications that involve real-time motion planning and decision making in the presence of uncertainty.
Development of Whole Language-Bases Instructional Models to Improve Commencement Literacy Skills

This study aims to develop a whole language-based commencement literacy instructional model. In this study, the children's initial literacy assessment tools and instruments were directed to evaluate students' commencement literacy skills before participating in a whole language-based learning program. In connection with this study, because the sampled children are kindergarten children, the assessment is not done in tests but in the form of non-tests such as children's work, performance portfolios, and observations or observations. The achievement of learning objectives should be seen in the child's final result (learning outcome), and how the child's process during the learning process should also be considered. This study's instrument was developed based on a grid compiled based on the theory of early writing of children aged 5-6 years and based on analysis of needs in the field. The study results that the whole language model is effective for improving the ability to read writing early.
Pedagogical System of Continuous Socio-Ecological Education of the Future University Professor

Education is the leading springboard for the formation of an environmentally cultured and educated person who can live and work in today’s rapidly changing society. The environmental crisis and the focus on sustainable development determine the relevance of socio-ecological education in the interests of the Concept of Sustainable Development (1994). The process of professional training of the future professor is based on the Federal State Educational Standard of Pedagogical Education and the professional standard, which defines the universal, general professional, and professional competencies and labor actions of the professor. The lack of special competencies indicates the formation of knowledge, abilities, skills, and experience in the field of socio-ecological education within the framework of general professional and professional competencies. The result of the future professor’s readiness for continuous socio-ecological education of students is determined by the socio-ecological knowledge. The development of socio-ecological knowledge in the conditions of professional training at the university requires the creation of a specific pedagogical system, including forms, methods, technologies, and pedagogical conditions for its development. These conditions include the creation of a socio-eco-oriented educational environment, the integration of formal, non-formal, and informal education, the use of modern digital, information and communication, and educational technologies. The selected components of socio-ecological knowledge: motivational-value, cognitive, activity, and reflexive formed the basis of the experimental study.
Embracing Change: Developing Learning Technology for Personalized Learning

Technology in education is rapidly changing the way that students learn. This allows for the creation of learning tools that provide better interaction, creative engagement and adaptability to a learner. Augmented Reality (AR) is one of these emerging technologies which can facilitate the development of new learning tools. AR has successfully been proven to allow new types of learning pedagogies by providing human-centered learning environments. In particular, the pedagogical approach of Kinesthetic learning or "Learning by Doing" has not been explored in great detail in combination with Augmented Reality. This approach is to physically act out an activity to aid in the learning process and has been previously proven as one of the most successful approaches. For a successful application of this pedagogy, the student must get precise feedback and be guided through a process, thus some form of intelligent guide needs to be actively monitoring the learning environment. This paper presents the exploration of this concept through the presentation of an initial prototype system that was developed and implemented based on an adaptive learning methodology within an AR application, with the prospect that in the future will use intelligent agents.
Adaptive Task Partitioning for Performance Evaluation in Cluster based Heterogeneous Environments

Due to continual server replacement, datacenter-scale clusters are developing toward heterogeneous hardware designs. Meanwhile, datacenters are frequently used by a variety of users for a variety of purposes. Due to multi-tenant interferences, it frequently exhibits high performance heterogeneity. When contrasted to in-house dedicated clusters, deploying MapReduce on such heterogeneous clusters poses major hurdles in attaining adequate application performance. Heterogeneity can cause significant performance degradation in job execution, despite current optimizations on task scheduling and load balancing, because most MapReduce implementations were developed for homogeneous contexts. To make scheduling decisions, the majority of extant adaptive strategies assume a priori knowledge of particular job characteristics. However, without spending a significant cost, such information is not readily available. The suggested framework Adaptive Control Self-tuning provides a significant improvement over existing methods at moderate to high system utilizations, according to the evaluation results.
Heimdallur - Interface For Publicly Accessible Internet Services

With an ever-expanding network of computers and devices connected to the internet, the attack surface and potential for cyber threats increases as well. As a precondition for mitigating this at scale, oversight over the state of security on the internet is required. Towards that, the internet threat scanner Heimdallur was developed to scan the Icelandic internetwork and gather information about potential security vulnerabilities. This project extends Heimdallur by providing a web application that presents the gathered data in such a way that penetration testers and security authorities can easily navigate through the data in hope of preventing future cyber attacks. This report contains information about how we designed and implemented the web application and our GraphQL API. The application is a search engine that allows users to filter the data using one or more specialized filters. The data provided by Heimdallur contains detailed information about the status of all internet servers in Iceland. For now, the application will solely be used by employees at Syndis and CERT-IS, though it might someday become accessible to the general public.
A Survey on Load Balancing Techniques in Cloud Computing Servers

Cloud Computing is an recent landmark   development in the area of computing. It offers huge power to next generation computing.. Dynamic provisioning forms the base for cloud computing and facilitates and supports the network services. Its primary focus is on making the vision of utility computing a reality, with an additional “pay-as-you-go” feature. It generates immense potential to in development of applications and products that specialize in greater resource utilization and scalability. This paper presents the survey on basic cloud computing fundamentals and therefore the concepts of load balancing i.e. Scheduling of load within the cloud. It elaborates the prevailing load scheduling algorithms with their merits/demerits and suitability within the cloud and heterogeneous computing environment and proposes a replacement perspective for better results as per desired parameters.
The DotDitty Bag / Mimi Wahidah Mohd Radzi

The name of the company is The DotDitty Sdn. Bhd. which the name is also dedicated to the attractive polkadot design for our ditty bags. The goal of our company is to offer and give the best solutions to the consumers in Malaysia. Nowadays, Malaysian tend to search for products with new technology that are easy and very convenient to use. The main product in this company is a ditty bag named The DotDitty Bag that comes out with a set of the multipurpose toothbrush that contain a toothpaste and 2in1 bottle pump.Our main target is travellers since the load of luggage or backpack is their main concern so, we solve the problems by making it easier for them to bring the toiletries set anywhere without any unwanted problems.The vision of our company is to be the gold standard of a globally successful business with a heart that will embolden business to better serve society and the mission is to offer all travellers at all range of the age and gender the best set of toiletries in terms of quality and safety. In order to achieve our vision and mission, we have made long term planning to maintain our brand and products in this industry. As time goes by, we will produce more products as the demand from the customers and improve the technology of the products.
THE APPLICATION OF TOTAL QUALITY MANAGEMENT IN THE CURRICULUM AS AN INPUT TO ACHIEVE EDUCATIONAL EFFECTIVENESS (TEXTILE AND CARPET CURRICULUM MODEL)

Quality in education is the driving force required to effectively push the educational system to achieve its goals and missionentrusted to it by society and the various parties related to education, whereas the university graduate is the fruit of the educationalprocess, its final product, its quality criterion and the investment of the present and the bet of the future, the curriculum is thecontent, method, practice, attitudes and activities that are presented to students to achieve certain goals in light of the educationalphilosophy of society, and it is considered a part of the educational system, and it is built for a specific goal or mission andincludes several processes and relationships, as it contains partial components organized with each other to achieve goals set forthem. From this standpoint, the necessity to place the process of developing university education in the focus of attention andpriority of research. Hence, the research problem is determined in the necessity of developing an educational strategy for totalquality management by setting special controls and mechanisms for the curriculum (the textile and carpet course is a model forreaching a final product that meets the local design standards in terms of the design form that expresses the Arab identity and highquality, taking into account the human and material capabilities of the educational institution.
Cross Project and within Project Software Defection prediction using NLP Techniques

The concept of cross project and within project software prediction is an important approach that is used to analyze the defects of software. The different scenario is used to analyze the functions of software prediction with the help of NLP Techniques. Defects are widespread in software systems and can cause a variety of problems for software users. The process software technology of predicting the defects are used to include different software components that helps in analyzing the functions of cross projects. There is a wide range of circumstances in the approach of suitable functions. It identifies the possibility of the system on the basis of different assurance of software prediction. The given article helps in analyzing the process of NLP techniques for the prediction of software. The different aspects are used to evaluate the framework which requires functions of cross projects.
Adversarial machine learning in computer vision: attacks and defenses on machine learning models

Machine learning models, including neural networks, have gained great popularity in recent years. Deep neural networks are able to directly learn from raw data and can outperform traditional machine learning models. As a result, they have been increasingly used in a variety of application domains such as image classification, natural language processing, and malware detection. However, deep neural networks are demonstrated to be vulnerable to adversarial examples at the test time. Adversarial examples are malicious inputs generated from the legitimate inputs by adding small perturbations in order to fool machine learning models to misclassify. We mainly aim to answer two research questions in this thesis: How are machine learning models vulnerable to adversarial examples? How can we better defend against the adversarial examples? We first improve the effectiveness of adversarial training by designing an experimental framework to study Method-Based Ensemble Adversarial Training (MBEAT) and Round Gap Of Adversarial Training (RGOAT). We then demonstrate the strong distinguishability of adversarial examples and design a simple yet effective approach called defensive distinction under the formulation of multi-label classification to protect against adversarial examples. We also propose fuzzing-based hard-label black-box attacks against machine learning models. We design an AdvFuzzer to explore multiple paths between a source image and a guidance image, and design a LocalFuzzer to explore the nearby space around a given input for identifying potential adversarial examples. Lastly, we propose a key-based input transformation defense to defend against adversarial examples.
Imagining the Great Before

During the making of Pixar’s 2020 animated movie Soul, we were tasked with having to create a brand-new world, the Soul World, which posed as a challenge to design and express within traditional art forms. As with most animated features, we had to execute within in a limited amount of time, while responding to an ever-evolving storyline. In order to achieve this goal, we had to approach it unconventionally. One method that helped greatly, was expanding an in-house texture development tool into a real-time look development environment. This new tool enabled us to iterate much more quickly and frequently, which in turn, helped us receive more timely feedback from the Director and Production Designer in order to hit the look they were after. We also used more established tools to explore new looks. Maya, for example, allowed us to effectively and quickly mock up entire environments with enough color and lighting information to make broad decisions. Since one of the new worlds we were building had to emulate a child’s playground while incorporating symmetry, we were able to establish the language quite effectively thank’s to Maya’s familiar interface. For the parts of the set that were unfamiliar to us, like ‘etherial Pavilions’, we turned to Houdini to try capture something fresh and new. We achieved the look of these by freezing motion blur into still kinetic forms. All three techniques, whether using new tools or existing, ended up contributing to the ‘not-of-this-Earth’ look, desired by the Director and Production Designer on Soul.
Analisa Gangguan Link Kamera Pengawas Diskominfo Provinsi Kalimantan Tengah

The increasing number of cases of crime or crime and the increasing level of community activity itself causes the need for security to increase. Therefore, a security or monitoring system is needed to deal with the possibility of a criminal act itself. With the development of information technology, technological developments in the security sector have also developed. In this case, the use of IP cameras is a solution. IP cameras are increasingly being used by the general public. So government agencies or companies generally require monitoring or monitoring of the situation to increase security. The technology used for monitoring is to monitor the situation and state of a different place or area by using an IP camera monitoring application, by using this application it is as if we will be in one place in front of us, the coverage we can monitor is unlimited. regions, different places, islands, countries and even different continents can monitor each other, it can even be global (world) coverage, namely using a computer network connected to the internet. However, there can also be interference with IP camera monitoring such as loss of connection and damage to supporting devices, therefore it is necessary to periodically maintain the device to keep it connected and reachable with the IP camera monitoring application. With the implementation of PSS (Pro Surveillance System) monitoring, it can even reach a wider area, so monitoring with an IP camera can be accessed whenever and wherever we are.Keyword : IP camera, Monitoring, EZtools, Network link
Penggunaan Global System for Mobile (GSM) untuk pemantauan Kebakaran: Kajian Kes di Bangunan LHDN Kluang

Unforeseen fire incidents can occur at any time and anywhere. The quality of use and management of fire prevention systems is also the current fire safety status. The Global System for Mobile (GSM) is a mobile frequency communication system of digital mediation and transmission that serves as a transmitter of information to the user's phone when it receives data that has been programmed only by the desired circuit. However, in Malaysia, the use of GSM is not used holistically. Therefore, this research aims to examine the potential use of the Global System for Mobile (GSM), identify the challenges faced, as well as measures in increasing the use of GSM on alarms and fire monitoring devices in government buildings. To achieve the objectives, this study uses qualitative methods as data collection through semi-structured interviews with building executives, building technicians, and building security managers. This research found that the respondents' agreement on the potential use of the system used is in terms of the use of less than one minute for the purpose of sending fire information as well as the percentage of the safety of use is at a high level. Respondents also agreed that the challenges obtained were in terms of high-cost utilization and employees did not face any challenges because the management of system utilization was from external parties. Steps in increasing the use of the system are through briefings, courses, and fire drills. In conclusion, this research encourages government building managers to understand the potential and measures to increase the use of GSM systems in fire management to improve issues related to the safety of the use of fire systems in government buildings.
Library Services: Exam Resources: eBooks and Online Magazines

This guide provides access to Library Services and Learning Skills resources to help students prepare for exams. This is a temporary guide that will be promoted during Exam & Stress Relief collaborative weeks on social media and CSI's website.
Denoising Analysis Of Optical Response Noise Removal Non-Uniformity Filter In Camera Source Recognition

Determining The Source Of The Creation Of Digital Content Is Considered One Of The Most Popular Open Questions In The Multimedia Forensics Community. So Far, Light Response Non-Uniform Noise Extraction (PRNU) Has Been Proposed As A Means Of Identifying Sensor Fingerprints. It Can Be Judged By Multiple Images Taken By The Same Camera Using The Noise Removal Filtering Process. A Noise Model Based On Signal Correlation Is Proposed And Compared With Other Commonly Used Models For This Purpose. The Technical Basis And Experimental Results Are Introduced And Discussed.