Reviewerly/exHarmony huggingface dataset:
Non-image Data Classification with Convolutional Neural Networks

Breast cancer is the most common cancer in women. Classification of cancer/non-cancer patients with clinical records requires high sensitivity and specificity for an acceptable diagnosis test. The state-of-the-art classification model - Convolutional Neural Network (CNN), however, cannot be used with clinical data that are represented in 1-D format. CNN has been designed to work on a set of 2-D matrices whose elements show some correlation with neighboring elements such as in image data. Conversely, the data examples represented as a set of 1-D vectors -- apart from the time series data -- cannot be used with CNN, but with other classification models such as Artificial Neural Networks or RandomForest. We have proposed some novel preprocessing methods of data wrangling that transform a 1-D data vector, to a 2-D graphical image with appropriate correlations among the fields to be processed on CNN. We tested our methods on Wisconsin Original Breast Cancer (WBC) and Wisconsin Diagnostic Breast Cancer (WDBC) datasets. To our knowledge, this work is novel on non-image to image data transformation for the non-time series data. The transformed data processed with CNN using VGGnet-16 shows competitive results for the WBC dataset and outperforms other known methods for the WDBC dataset.
LibGuides: Art and Design Subject Guide: Getting Started

This guide will take you through all you need to make the most out of the resources available to you through the library.
Cryptography and Network Security: A Historical Transformation

Information is any sort of data and the security of the data is the primary need in the digitized world. Information security alludes to defensive digital protection gauges that are applied to counteract unauthorised access to PCs, individual databases and websites. These capacities fall under cryptography. Cryptography gives clients different kinds of functionalities for hiding the information and validates the clients who utilize the encoded information. All the more officially, Cryptography is a study of ensuring information. This paper speaks to a course of events of the advancement of cryptography from early Egyptian cryptography to the current cryptography encryption strategy and technology. This paper clarifies why we required encryption, why each world leader utilized encryption and why regardless we required it. The procedures utilized during 1899 BCE and the methods till now as the security is the significant piece of the correspondence on the computerized world thus compose this paper to tell all people, groups what various sorts of cryptography strategies utilized in various time of times. Furthermore, this paper will help people groups as researchers to know in insights concerning the diverse cryptographic machines and their work and proficiency in encrypting information of those machines.
Thirty-seven years of relational Hoare logic: remarks on its principles and history.

Relational Hoare logics extend the applicability of modular, deductive verification to encompass important 2-run properties including dependency requirements such as confidentiality and program relations such as equivalence or similarity between program versions. A considerable number of recent works introduce different relational Hoare logics without yet converging on a core set of proof rules. This paper looks backwards to little known early work. This brings to light some principles that clarify and organize the rules as well as suggesting a new rule and a new notion of completeness.
To Dominate or to be Dominated. About the Attitude of Humans to Technology in Modern Culture

The article presents historical aspects of thinking about technology in terms of dominating or being dominated. The terminological analysis, distinguishing the terms “robot” and “automaton,” allowed for outlining different traditions from which they originated. The fear that machines will take work away from people has been proven to be cyclical in four industrial revolutions and their social perception; it has been demonstrated to occur regularly beforehand and likely to return. In the main part of the article, examples of duels between man and algorithm are presented and an attempt to propose a new model of thinking about technology as a human-technological hybrid is made.
A Comparative Study on Text Features of Chinese Writing by Koreans - Focus on Excellent Writing and Immature Writing

This paper was considered to compare the feature of texts written by Koreans. It analyzed the feature of texts of each forty five text of two groups;excellent group and immature group. This study used nine theological Analysis Tools;X1:T-unit numbers, X2:Topic of sentence number, X3:whole word numbers, X4:incorrect sentence number/whole sentence number, X5:cohesive ties number/whole sentence number, X6:the number of thematic chunks, X7:whole word numbers/T-unit numbers, X8:T-unit numbers/topic of sentence number, X9:the number of thematic chunks/the number of sentence theme. According to the result of Kruskal Wallis test, there are big differences excellent writing and immature writing in X2, X4, X8. In order to write good texts, Koreans should closely connect topics of sentence toward the topics of text.
Parallel mining method for symbol application features of complex network images

Aiming at the problems of poor denoising effect, low recognition rate and long feature mining time in current methods, a parallel feature mining method of image symbol application features in complex network based on neural network learning control is proposed. First, the standard deviation of image symbol noise is calculated and denoising is carried out by filtering parameters. Then the image symbol is segmented by using the two-dimensional maximum inter-group variance method. Finally, the momentum coefficient and learning efficiency are introduced to calculate the parameters of the neural network, and the improved simulated annealing algorithm is used to adjust the learning efficiency of the neural network, so as to realise the parallel mining of image symbol application features of the complex network. Experimental results show that this method has good image denoising effect, high image recognition rate and short feature mining time, which verifies the comprehensive effectiveness of this method.
“Two Way or Go Away”: Development of DPP (Digital Presentation Platform) Which Supports to Make a College Teachers Get Two-Way Communication Classroom as a Facilitators

“Two Way or Go Away”: If your class isn’t a two-way classroom, then you have to go away from your classroom. This gentle call to veteran educators at the university level is the gist of changing the old-style one-way lecturing classroom to a two-way communication venue. The authors developed and started operation of the Digital Presentation Platform (DPP) to serve as the development principle for achieving this call. The DPP has the following three functions: 1) Response Analyzer, 2) Learning Management System (LMS), and 3) Distance Education. In this paper, we report on the Response Analyzer, the core function of the DPP, in terms of its educational function, types and examples of questions, and its effects of some trials. The Response Analyzer is a method for supporting the revitalization of classes required by Japanese higher education in particular: in other words, strengthening the conversion of one-way knowledge-presentation based lectures into two-way discussion-based formats in which students actively participate. The Response Analyzer is very effective in transforming university faculty members, the “teachers” for whom such one-way lectures are the norm, into “facilitators” who can work with the students through two-way communication to lead them towards a network space information world.
Multi-channel Interaction Design and Implementation of Medical Pendant Based on Virtual Reality Technology

This paper takes the medical pendant as the research object of virtual reality technology multi-channel interaction design. It expounds the characteristics of multi-channel human-computer interaction in the virtual reality system and discusses the technology realization process of multi-channel human-computer interaction in the virtual reality system. From the aspects of the visual channel, sound channel and haptic channel, the current technical difficulties are analyzed in combination with the principle of human-computer interaction. The significance of multi-channel interaction design research is further verified, and the important principles of interaction design in the virtual reality system are proposed. Simulating the product in a virtual environment improves the sense of use and safety of medical device products. Combined with the user interaction task experiment of the virtual reality system of the medical pendant, the design practice process was verified.
Optimization of the English learning with primary school children using Duolingo

In the English language learning, the technology is considered as a very important factor, even so, in the public-school context, teacher’s expertise, and knowledge to integrate are vitally important in the classroom. The aim of this study was to demonstrate the inclusion’s incidence of Duolingo platform in a third-grader's class led by a trainee teacher, who was concerned about why children presented several difficulties to assimilate a foreign language, this event motivated him to propose on his lesson plans permanently the inclusion of this platform during the development of his teaching practicum, which was convened with the home teacher, so he decided to investigate the effect of Duolingo’s use with his researcher sight, during its sessions.&#x0D; For the analysis of this study was considered theories from Čok (2016), Loeb, (2018), Ahmed(2016), Vesselinov &amp; Grego (2012), among others, which were perceived Duolingo’s digital support as a facilitator element for the English language learning, it was also vital the teacher’s sight and expertise at the moment of including technology in the class space. For this research, three instruments were applied: Trainee teacher’s field notes, a survey, and a questionnaire, to measure children’s language knowledge knowing different perspectives of this experience, thus, to have arguments to invite the teachers to assume these challenges.&#x0D; Finally, the results let us to know the increase of the English grammar knowledge and vocabulary, after Duolingo’s implementation in the classroom, demonstrating a meaningful academic improvement also behavior changes were noticed and with that, value changes, tending to the education of an integral being, in the scholars.
A Study on Machine Learning Approach using Ensemble Learners for Click Fraud Detection in Online Advertisement

The deliberate clicking on advertisements with no real interest on the product or service offered, is one of the most daunting problems in online advertising. Building an effective fraud detection method is thus pivotal for online advertising businesses. This will save the online-advertisement industry from heavy economic losses due to irrelevant payment made to the fraudulent publishers.
A Study on Sharing System Construction on Emergency Response Information

Currently, high-risk business sites that handle accident-preparatory materials more than the designated quantity must submit a risk management plan. Through this, the company manages the risk of spreading out of business sites due to chemical handling.<BR> However, as the number of chemical businesses in Korea increases day by day, the frequency of accidents and their damage are only increasing. At this time, initial response is important to reduce accident damage, but in small and medium-sized businesses, initial response is not good. To solve this problem, the emergency response information sharing system in the project site management plan should be established to jointly respond to accidents. In this study, we derived information that can be shared in establishing a system for sharing emergency response information among businesses. It also provided guidelines for improving emergency response information and establishing a system for sharing emergency response information among businesses.
The Impact of Self-Marketing to Find a Job: The Case Study of Undergraduate Students in Northern Iraq

This study aims to explore that undergraduate students in Northern Iraq have the ability to see the idea of self-marketing to find the job and they can be familiar with their branding. Semi-structured interviews collected the data and analyzed it using content analysis. The sampling strategy employed in this study is the maximum sampling of variations. The outcomes of this thesis reveal that the effectiveness and efficiency of self-marketing are the foremost way to undergraduate students (universities and institutes) in Northern Iraq to thrive the compete of finding a job. The undergraduate students need to understand from the self-marketing, particularly concentrate on the important parts such as (CV, interview, social media, skills, experience, and certifications) to a career fair. They should have the ability to focus on different ways to engage in a job. Through this method, the undergraduate students will be able to make important progress in finding a reasonable job.
An Exploratory Analysis of Microcode as a Building Block for System Defenses

Microcode is an abstraction layer used by modern x86 processors that interprets user-visible CISC instructions to hardware-internal RISC instructions. The capability to update x86 microcode enables a vendor to modify CPU behavior in-field, and thus patch erroneous microarchitectural processes or even implement new features. Most prominently, the recent Spectre and Meltdown vulnerabilities were mitigated by Intel via microcode updates. Unfortunately, microcode is proprietary and closed source, and there is little publicly available information on its inner workings. In this paper, we present new reverse engineering results that extend and complement the public knowledge of proprietary microcode. Based on these novel insights, we show how modern system defenses and tools can be realized in microcode on a commercial, off-the-shelf AMD x86 CPU. We demonstrate how well-established system security defenses such as timing attack mitigations, hardware-assisted address sanitization, and instruction set randomization can be realized in microcode. We also present a proof-of-concept implementation of a microcode-assisted instrumentation framework. Finally, we show how a secure microcode update mechanism and enclave functionality can be implemented in microcode to realize a small trusted execution environment. All microcode programs and the whole infrastructure needed to reproduce and extend our results are publicly available.
Breaking and Fixing Destructive Code Read Defenses.

Just-in-time return-oriented programming (JIT-ROP) is a powerful memory corruption attack that bypasses various forms of code randomization. Execute-only memory (XOM) can potentially prevent these attacks, but requires source code. In contrast, destructive code reads (DCR) provide a trade-off between security and legacy compatibility. The common belief is that DCR provides strong protection if combined with a high-entropy code randomization. The contribution of this paper is twofold: first, we demonstrate that DCR can be bypassed regardless of the underlying code randomization scheme. To this end, we show novel, generic attacks that infer the code layout for highly randomized program code. Second, we present the design and implementation of BGDX (Byte-Granular DCR and XOM), a novel mitigation technique that protects legacy binaries against code inference attacks. BGDX enforces memory permissions on a byte-granular level allowing us to combine DCR and XOM for legacy, off-the-shelf binaries. Our evaluation shows that BGDX is not only effective, but highly efficient, imposing only a geometric mean performance overhead of 3.95% on SPEC.
Supporting Different Roles and Responsibilities in Developing and Using Context-Based Adaptive Personalized Collaboration Environments Compliant to the Law

Developing context-based adaptive applications that are compliant to the law require experts from different domains, e.g. software designer, developers, legal professionals, providers and users, and a tight collaboration between them. Software providers must be assured that the applications they serve to users run compliant to the law. Additionally, it is important to support users to act according to the law, e.g. when they upload content which may concern the Copyright Law. This aspect is also relevant to providers, because they are responsible for users’ legal breaches. To support users to act compliant to the law when using an application, it is important that they understand the current situation and the related consequences to the usage of the system. This paper presents a development and provisioning process for domain-specific context-based adaptive software applications. We define roles and responsibilities as well as artifacts that need to be specified in the different lifecycle phases of the process. Using the process, related stakeholders will be able to integrate legal regulations into context-based adaptive systems. We use a sample scenario, where Copyright Law and personalized explanations get relevant, to describe how legal experts support other stakeholders in the development process and how they can configure legal requirements and provide explanations. Our approach adds flexibility to the development and provisioning process, because only relevant regulations for a specific application have to be considered.
En mobilapplikation som presenterar hur fullt det är på Uppsalas studentnationer

Uppsala's student life largely consists of the student nations. The student nations are required to count the number of guests due to fire safety and to meet the regulations from the Public Health ...
TEAM SELECTION FOR EVENTS APPLICATION USING SERVICENOW

The objective of the project is to develop a system which is fully automate for selecting student for various events held in college. To select a student manually based on their skills there is a lot of paper work that is needed to be done. To reduce this paper work and to automate the system and make it online we propose a new methodology using service now platform which makes the task easier. This reduces the wastage of time and energy. The existing method is a time taking process in which a student has to be assessed based on their skills and the scoring is done using paper and pen. But in the proposed methodology the entire process is made online and the selected students list is made itself by the application and also meetings to be scheduled in the near future can be done. This helps in the efficient use of time and in reducing the paper work.
Body Shape Privacy in Images: Understanding Privacy and Preventing Automatic Shape Extraction

Modern approaches to pose and body shape estimation have recently achieved strong performance even under challenging real-world conditions. Even from a single image of a clothed person, a realistic looking body shape can be inferred that captures a users' weight group and body shape type well. This opens up a whole spectrum of applications -- in particular in fashion -- where virtual try-on and recommendation systems can make use of these new and automatized cues. However, a realistic depiction of the undressed body is regarded highly private and therefore might not be consented by most people. Hence, we ask if the automatic extraction of such information can be effectively evaded. While adversarial perturbations have been shown to be effective for manipulating the output of machine learning models -- in particular, end-to-end deep learning approaches -- state of the art shape estimation methods are composed of multiple stages. We perform the first investigation of different strategies that can be used to effectively manipulate the automatic shape estimation while preserving the overall appearance of the original image.
EM Drive Thruster by Anti Maxwell Dual Monopole Tubular Interference Field Reduction Around a Conductor.

A so called Em Drive ( Electro Magentic Drive) defy classical physics expectations because it shows repellent less or reaction less thruster qualities. According to Quantum FFF Theory (Function Follows Form at the quantum level) however, the magnetic field is build on two monopole rigid string particles which can be represented as curved lines of radiation trajectories, for a stable magnetic field more or less cooperating by opposing each other. Thus, the magnetic quantum field has always TWO different shaped curved monopole vector components: a North- and a South vector field component. This is comparable with the electric Quantum field, equipped with Plus and Minus vector components but it is in contrast with all other quantum fields like the neutrino- gravity-or x-gamma ray field. However, based on observation of iron filing-powder patterns, close to direct currents in a wire, it is postulated, that these monopole ( N+S) particle/ wave dualities travel locally parallel to each other inside the vacuum Axion/Higgs field, with a strong field reduction result also called a magnetic B-flied effect. A so called B field is well known to be present around a long solenoid. Inside the spiral solenoid, there is the strongest magnetic field present, however outside the solenoid the magnetic field is reduced down to zero, also originated by the anti Maxwell dipping field effect . This Anti Maxwell dipping phenomenon is originated by the interference of both ( N+S) monopole fields of parallel propagating magnetic monopole radiation trajectories, according to my monopole magnetic Quantum FFF model. These B field reductions (or dipping) are also observed to be concentrated in a tubular form around the current in a conductor..
One-Hand Controller for Human-Drone Interaction – a Human-Centered Prototype Development

Using remote control transmitters is a common way to control a drone. For the future, we envision drones that are intuitively controllable with new input devices. One possibility could be the use of one-hand controllers. Here, we present an exploration of using a 3-D mouse as a controller for human-drone interaction. We ran a pre-study that investigated the users’ natural spatial mapping between controller and drone dimensions. Based on these results we developed our prototype that shows the feasibility of our concept. A series of flight tests were conducted and the mapping between controller and flight movements were iteratively improved. In this paper, we present our development process and the implementation of our prototype.
Data Analysis of Safety Assessment and Early Warning for Offshore Platform

Dai, W. and Yu, Y., 2020. Data analysis of safety assessment and early warning for offshore platform. In: Gong, D.; Zhang, M., and Liu, R. (eds.), Advances in Coastal Research: Engineering, Industry, Economy, and Sustainable Development. Journal of Coastal Research, Special Issue No. 106, pp. 536–539. Coconut Creek (Florida), ISSN 0749-0208.Offshore platform is a very complex system and is affected by wind, wave, currents, and other loads for a long time. When a safety problem occurs in the offshore platform, catastrophic accidents can cause incalculable loss of life and property and can also damage the vulnerable marine ecological environment. However, the research on the safety of early warning of offshore platforms in China is still in its infancy. Therefore, by performing safety assessment and early-warning work, this paper can obtain the health status of the offshore platform timely and accurately. By studying the safety assessment and early-warning system of the offshore platform, a theoretical basis for the safe operation of offshore platform can be provided. Through the technology of safety monitoring and safety evaluation, this paper constructs the safety early-warning model of the offshore platform, which realizes the monitoring, diagnosis, control, correction, and other functions of the production activities of the offshore platform.