Reviewerly/exHarmony huggingface dataset:
Generating Adversarial Fragments with Adversarial Networks for Physical-world Implementation

Although deep neural networks have been widely applied in many application domains, they are found to be vulnerable to adversarial attacks. A recent promising set of attacking techniques have been proposed, which mainly focus on generating adversarial examples under digital-world settings. Such strategies are unfortunately not implementable for any physical-world scenarios such as autonomous driving. In this paper, we present FragGAN, a new GAN-based framework which is capable of generating an adversarial image which differs from the original input image only through replacing a targeted fragment within the image using a corresponding visually indistinguishable adversarial fragment. FragGAN ensures that the resulting entire image is effective in attacking. For any physical-world implementation, an attacker could physically print out the adversarial fragment and then paste it onto the original fragment (e.g., a roadside sign for autonomous driving scenarios). FragGAN also enables clean-label attacks against image classification, as the resulting attacks may succeed even without modifying any essential content of an image. Extensive experiments including physical-world case studies on state-of-the-art autonomous steering and image classification models demonstrate that FragGAN is highly effective and superior to simple extensions of existing approaches. To the best of our knowledge, FragGAN is the first approach that can implement effective and clean-label physical-world attacks.
CAPABLE CLOUD DATA EXCEEDING MAIN EXPOSURE

This focuses on encrypted data search, which is a vital means of protecting the privacy of file encryption before outsourcing in cloud computing or, in general, on almost all network-based information systems in which servers cannot be totally reliable. We officially demonstrate that our proposed plan is selectively secure against the selected keyword attack. We've created a single, authoritative, scalable search in an encrypted data plan that supports multiple data users and multiple data collaborators. We differentiate between features and keywords in our design. Keywords are the actual content of the files, while the attributes refer to the attributes of the user. In addition, using proxy encryption and slow file encryption techniques, the proposed plan is more relevant to the cloud outsourcing model and is efficient at eliminating the user. Unlike the existing public key search scheme, our plan can achieve scalability and system improvement at the same time. Unlike a search plan with native file encryption, our plan lets you search for approved, adaptable keywords in arbitrarily structured data. The appearance of complexity is a straight line to the amount of attributes within the system versus the number of authorized users. Thus, the one-to-many license mechanism is best suited for any huge system, for example, cloud. Proposed ABKS-UR plan and verification of the results verification mechanism through a real-world dataset and the complexity of an approximation calculation in relation to the conjugation process.
Changing Things: Innovation through Design Philosophy

Digital networked technologies are currently at the forefront of contemporary innovation, driving changes in sociotechnical practices across industrial sectors and in everyday life. Yet technical i ...
Puncturable Symmetric KEMs for Forward-Secret 0-RTT Key Exchange

The latest version of the Transport Layer Security protocol (TLS 1.3) introduces a pre-shared key zero round-trip time (0-RTT) mode. This enables session resumption with no latency before the first application data can be sent, at the cost of losing forward secrecy and replay protection. There is high demand from Internet companies for this performance-enhancing feature, and some service providers have chosen to already enable it by default despite the security compromise currently associated to it. In this work we explore the possibility to achieve forward secrecy for resumed sessions in 0-RTT mode, mitigating the security risks presently adherent to it. To abstract the key exchange in TLS 0-RTT mode, we introduce a new primitive which we call symmetric-key key encapsulation mechanisms (S-KEMs). Forward secrecy is attained through ``puncturing'' of the secret key, which we capture formally by puncturable S-KEMs (PS-KEMs). Furthermore, to enable optimizations that leverage ordering and to achieve the greatest possible generality of our model, we also introduce stateful versions of S-KEMs and PS-KEMs. We examine the relationship between these new primitives, give game-based functionality and security notions and show how pseudorandom functions (specifically based on the Goldreich-Goldwasser-Micali construction) can be used to build instantiations which meet the security goals. (Less)
Research on Data Auditing Technology Based on PARCC

In order to improve the data security in the computing environment, a "public auditing" scheme PARCC was proposed for the regenerative coding data in the cloud computing system. PARCC allows the user to use a third-party auditor TPA to remote check the integrity of the data. In addition, in order to solve the data owner without online failure data/signature of regeneration, was introduced to the system in one and a half-trusted agent, and designed a new data signature scheme, allowing the agent to replace the data owner to provide renewable data valid signatures. Considering the privacy protection of data, the random cover method of coefficient in PARCC scheme ensures that the user data will not be leaked during the audit and repair process. The safety of the scheme is proved, and the performance of the scheme is comprehensively evaluated and analyzed through the theory. The results show that the scheme has good performance.
Metrics to Predict Future Modifications and Defects Based on Software Requirements Specifications

In software development, the quality of the upstream process greatly affects the quality of the downstream process. However, few studies have applied metrics to estimate quality, controlled the quality quantitatively, or have verified the relationship between specifications and software quality. One reason is that specifications are described in natural language, making it difficult to quantitatively evaluate software metrics, such as complexity. Although high-quality software requirements specifications (SRSs) lead to successful implementation, neither a simple quantitative evaluation nor an effective indicator to predict modification-prone SRSs exists. Herein, the effectiveness of two specification metrics is evaluated (the number of pages and the number of previous modifications) in order to predict software defects and future modifications of SRSs. We confirm that both specification quality measured by specification metrics and software quality measured by the number of defects are related. We also reveal that future modifications are correlated with the size of SRSs.
Automated Code Inspection: Investigating Deployment of Continuous Inspection

Developing high quality software is a challenging task and there are various techniques and processes proposed to achieve high quality of software. This project examines the process of continuous i ...
Providing trust to multi-cloud storage platforms through the blockchain

Cloud storage services are currently a commodity that allows users to store data persistently, access the data from everywhere, and share it with friends or co-workers. The number of cloud services is growing rapidly but with low interoperability between them; consequently, managing and sharing files between users of different cloud storage is very difficult. To address this problem, specialized cloud aggregator systems emerged that provide users a global view of all files in their accounts and enable file sharing between users from different clouds. To remove the need to trust the cloud providers, Crypto Cloud solution provides the full encryption of stored data, allowing to use multiple cloud storage providers to securely store files. However, in Crypto Cloud, there is a central server which is responsible for managing metadata about users, clouds, files, and permission. The general problem is that if the server is attacked, the integrity of files and public keys can be compromised. The Crypto Cloud system was created with the assumption that the server does not act maliciously. In this dissertation, we propose a solution that, through the use of the blockchain, is able to provide integrity of metadata without relying on the server. This is achieved by extending Crypto Cloud with secure metadata management using the blockchain. We focused on the management of the users' identities and how to provide metadata integrity without relying on the central server. We built a prototype and tested it with real use cases such as the addition of a user, or creation/reading of files. While more complex, the new client removes the trust from the central server and is, therefore, a step towards more decentralized and secure cloud storage systems.
An empirical investigation into problems caused by breaking changes in API evolution

To evolve an API, providers update the API and publish new versions, which consumers have to adopt. As the API defines the interface to a service, changing it can have severe consequences to consum ...
iGlow: Visualizing a Person’s Energy Level Through Hand Motion

This research proposes a novel approach of providing fitness feedback in wearable devices. Current fitness wearables on the market primarily provide statistical feedback in the forms of graphical representations of the collected data such as activity tread lines, activity rings, activity bars, etc. We propose a wearable wristband with a built-in LED whose light intensity is altered according to the users’ physical activity – higher the activity level brighter the LED light. More specifically, we have designed and developed an Arduino-based prototype device that collects accelerometer data from hand motion, and then maps the hand motion data into light intensity. Such a device can have numerous applications in health and fitness as well as for entertainment purpose, as the device can emit light accordingly to hand motion, which gives users visual feedback/cues on their energy exertion.
Artificial Intelligence – An Emerging Trend of Technology

AI©s role in augmentation (reduce human errors) and automation (works autonomously) gathers momentum as many benefits are felt across industries. It has already started impacting our professional, personal lives. Effective Resource Utilization (24 hours) makes the deployment of AI technology much faster.To conclude, irrespective of various forms of intelligence - normal, smart, emotional, artificial, it appears that CMA has to be business intelligent and stay relevant to the business with appropriate usage of emerging technologies.
Research and Development of Intelligent Integrated Conference Service Platform

Abstract With the popularization of mobile terminals and the rapid development of Internet technology, the “Internet +” platform has become the infrastructure of future economic life and is the main ways of the future digital economy and the resource allocation. Focusing on user needs and taking the user’s experience as the core, the data-driven innovative intelligent integrated conference service platform will effectively integrate conference resources and provide personalized conference services. Based on the innovative thinking of the Internet, this paper introduces the “Internet + Conference” model to develop an intelligent integrated conference service platform, expound the architecture and a business model to explore the two applied Internet meeting innovation mode of thinking, create an intelligent conference, realize efficient collaboration and sharing of information resources to give full play to the platform role of the conference.
한ㆍ중 공적 사과문의 대조 분석적 연구

This study aimed to analyze the structure and strategy of formal apology statement made by Korean and Chinese public figures. With the development of the media in recent years, Korean and Chinese entertainers have received a lot of attentions as public figures. If they commit a mistake, they offer a formal apology because they receive a lot of criticism over such incidents. However, these apologies are very different in their approaches. This study analyzed the differences in the structure and strategy between Korean and Chinese apologies. Since the culture of apology is different for the Koreans and Chinese, the structure and strategy of their apology messages are also different. The research found that, there are three types of apology structures. The Korean apology approach uses the “greetings - sender - body” structure more commonly than the “sender- body” and “body” structures. While the Chinese apology primarily uses the “body” structure. In the Korean apology, the “sender” details and the “body” are included, but in the Chinese apology, the “sender” information is not included. The Chinese apology also usually does not begin with “greetings” unlike the Korean apology. The most commonly used the Korean apology strategy is the one that includes a clear apology and admission of responsibility with a promise to prevent a recurrence of the incident. It also uses repetitive expressions or strong words to express emotions of remorse, and includes statements on remdial actions and solutions. In contrast, the Chinese apology typically uses a combination of the clear apology, clear admission of responsibility, explanation, and implications strategies along with a promise to prevent recurrence.
DMRA-MCP: A Distributed Map-Reduce Applications Deployments in a Multi-Cloud Platform Based on Cloud Broker Architecture

This paper proposes a solution to the deployment of a distributed map-reduce application; a multi-cloud platform (DMRA-MCP) based on cloud broker architecture. The current advanced cloud computing techniques including Hadoop, Cascading, and the cloud broker architecture are employed to implement the proposed solution. Our idea, in one hand, is to distribute our application via the map-reduce model. In the other hand, to use the cloud broker architecture for the deployment of the distributed map-reduce application in a multi-cloud platform. The paper presents the DMRA-MCP and two representative case studies from distinctly different areas that illustrate how distributed map-reduce applications based on multi-cloud can be created. Performance evaluation proves that the proposed solution can prove the DMRA-MCP performance and reduce the distributed map-reduce job cost by an average of 10–40% discounts compared to the use of a single cloud and ensures optimal resource allocation.
Evaluation of applicant quality for a recruitment company using machine learning

It is important to the recruitment company that only quality candidates, and the candidates most likely to receive an offer of employment get short-listed to go through the carriers selection process. It is this second phase of the recruitment process, the short-listing of potential candidates, that will be the focus of this thesis.Data has being gathered by the recruitment company through an initial candidate screening process as well as responses from carriers regarding the selection outcome for each candidate.The topic of this thesis is to apply and evaluate machine learning algorithms to this data in order to predict which candidates are of the highest caliber and thereby most likely to receive an offer of employment from the carrier.The original screening data consisted of over 16 000 observations, However after removing observations with missing values and matching with the available response data the final data set consisted of only 1101 observations.One conjecture is that candidates with less experience or opportunities are more motivated to answer all screening questions thereby providing a more complete profile. Candidates with more experience, contacts and opportunities are less motivated to answer screening questions and thereby leave incomplete profiles, and consequently not making it into the final data set. The failure of the machine learning algorithms evaluated in this thesis to successfully classify candidates is not so much a failure of the algorithms to find a pattern in the data rather a reflection of the fact that there is a fundamental absence of a patternin this particular data set. This does not mean that there are no patterns that could eventually be exploited to create accurate machine learning models, rather that improvements in the candidate screening and data gathering process are needed first.
Bitcoin's P2P Trading: Evidence From 23 Fiat Currencies, 2017-18

A study of Bitcoin P2P trading in 23 fiat currencies finds trading on LocalBitcoins without considering any other issues does not have any consistent impact of the price paid for Bitcoin. There is also no evidence that liquidity or payment method impact on Bitcoin prices. There is however, evidence of higher Bitcoin prices paid in countries with economic problems when compared to Bitcoin prices in more healthy economies. Groups of countries facing similar economic conditions such as South East Asian and Central/South America experience similar Bitcoin trading patterns. However, the surprise is the European Union with very low Bitcoin price correlations between the euro and the non-EMU fiat currencies and between the non-EMU currencies themselves.
Getting Started with SteamVR and Unity

This chapter looks at how to get started creating cross platform virtual reality (VR) experiences using Unity and the SteamVR Unity Plugin. It also looks at how to create a VR scene, how to interact with objects, and how to use teleportation as means of locomotion. The SteamVR Unity Plugin is a collection of assets provided by Valve to make creating VR experiences using Unity on OpenVR devices as simple as possible. In addition, Valve has included code for the Interaction System; a lightweight and flexible system for interacting with game objects and managing the context specific behavior of tracked VR devices by sending messages based on Hover and Attached states to interactable game objects. The Player prefab, located under Assets/SteamVR/InteractionSystem/Core/Prefabs, represents the user in the scene and is the core of the Interaction System. While the Player prefab forms the core of the Interaction System, the Hand class is the real workhorse.
Interferents of Automated Reticulocyte Analysis Integrated with Relevant Clinical Cases

Reticulocyte count (RET) has been used for many years to estimate the erythropoietic activity of the bone marrow. Fully automated methods not only provide enhanced precision and accuracy, but also enable reliable measurements of mRNA content and cellular indices. However, problems still exist, such as interference. The aim of the present study was to investigate the interferents of Sysmex XN 9000 reticulocyte analysis and ensure the accuracy of the results.We collected a total of 510 specimens from normal control patients and patients with various diseases including anemias, leukemias, infectious diseases, immune diseases, kidney disease, etc. Correlation of the agreement for reticulocytes between the new methylene blue (NMB) visual microscopy method and automated reticulocyte counting was evaluated by paired sample method according to the CLSI-ICSH document H44-A2-Methods for Reticulocyte Count. Blood smear microscopic examination was carried out on the disturbed samples, and the interferents were analyzed with the medical history, flagging algorithms, the warning information, and the microscopic examination.A total of 44 (8.6%) cases exhibited interference. The main interferents of spuriously high reticulocyte count were caused by parasites, such as malaria, as well as suspicious autofluorescence due to drugs, while the main interferents of spuriously low reticulocyte count were caused by RBC fragments.Detection of potential interferences may be accomplished through alarm information and flagging algorithms incorporated into the instrument and by examination of a blood film to ensure absence of relevant interferences.
LibGuides: Open Educational Resources (OER) | Speech & Communication Discipline: Overview

Collection of Open Educational Resources pertaining to and supporting the Speech Discipline at Miami Dade College
A Study on Instructional Education Research for Text Visualization

The purpose of this study is primarily to consider education for design thinking provided by the university this researcher is affiliated to regarding the cases of ‘Design and Creative Ideas' class opened in other departments. About the method of this study, it is conducted in the order of literature review, class design, class provision, and arrangement of class results. The class was provided to freshmen in D University from 2015 until 2016. When the class was planned, the model to learn visualization designed by this researcher was applied to education for design thinking. According to the results of class provision, when visualization is applied to education for design thinking, it is possible to be free from stereotyped thinking and approach problems in a new way; therefore, it is found to be effective in education for original and creative thinking. Also, students accustomed to language-based thinking due to school education will have to practice visual thinking, too. Education for design thinking is the core of education for creativity since it is the process of solving programs in a systematical and integrative way. This researcher aims to prove that design thinking will form thinking skills that can lay the grounds for solving problems and finding answers regardless of one’s major afterwards.
The Influence of Autonomous Movement on Adverse Events in Relaxing Virtual Environments Using a Head-Mounted Display: An Exploratory Study

JVRB, 15(2018), no. 1. - Background: Virtual reality has been increasinglyused to support established psychological interventions,including relaxation techniques. Only limitedknowledge about the occurrence and severity of adverseevents (AE) (e.g. cybersickness) in relaxing virtualenvironments is available. The aim of the studywas to assess the frequency of AE in virtual environmentsand factors associated with these.Methods: A sample of 30 healthy participants wasincluded in the study. The participants completedquestionnaires on susceptibility of motion sickness,use of and attitudes towards modern technology priorto the exposition to the virtual environment. They thentook part in three short virtual scenarios (no movementof the avatar, steady non-autonomous movement, andautonomous movement) using head-mounted displaysand rated the occurrence and severity of AE after eachscenario.Results: The participants reported high incidencerates of different AEs (40–70%), but only in the scenariowith autonomous movement. In the scenarioswith no or only limited control over movement approximately30% reported slight symptoms of dizziness,and 3–7% reported slight nausea. Nevertheless,the occurrence of AEs resulted in reduced relaxationand mood. Gender, age, and usage of computers andgaming consoles had no influence on the incidence orseverity of AEs.Discussion: Our results show that virtual reality is asafe technology to be used in clinical psychology, ifcertain parameters are being minded. Future studiesshould routinely assess and report AEs in a structuredway, to enable more in–depth insights regarding influentialfactors and potential prevention strategies.