Reviewerly/exHarmony huggingface dataset:
Single-Server Private Information Retrieval with Side Information Under Arbitrary Popularity Profiles

This paper introduces a generalization of the Private Information Retrieval with Side Information (PIR-SI) problem called Popularity-Aware PIR-SI (PA-PIR-SI). The PA-PIR-SI problem includes one or more remote servers storing copies of a dataset of $K$ messages, and a user who knows $M$ out of $K$ messages -- the identities of which are unknown to the server -- as a prior side information, and wishes to retrieve one of the remaining $K-M$ messages. The goal of the user is to minimize the amount of information they must download from the server while revealing no information about the identity of the desired message. In contrast to PIR-SI, in PA-PIR-SI, the dataset messages are not assumed to be equally popular. That is, given the $M$ side information messages, each of the remaining $K-M$ messages is not necessarily equally likely to be the message desired by the user. In this work, we focus on the single-server setting of PA-PIR-SI, and establish lower and upper bounds on the capacity of this setting -- defined as the maximum possible achievable download rate. Our upper bound holds for any message popularity profile, and is the same as the capacity of single-server PIR-SI. We prove the lower bound by presenting a PA-PIR-SI scheme which takes a novel probabilistic approach -- carefully designed based on the popularity profile -- to integrate two existing PIR-SI schemes. The rate of our scheme is strictly higher than that of the only existing PIR-SI scheme applicable to the PA-PIR-SI setting.
Effects of task and visual context on referring expressions using natural scenes

We explore contextual adaptation of referring expressions with respect to referential ambiguity and communicative intention. We focus not only on whether people adapt, but also on how by contrasting lexical specification (e.g., "batter") and syntactic modification (e.g., "man in white pants") when discriminating between objects in natural scenes (e.g., a batter wearing white pants and a referee). There are three main results. First, we replicate that speakers adapt their expressions to avoid ambiguity. Second, communicative intention has an effect: participants tended to use more specific names in a discrimination task than in a descriptive task, even without referential ambiguity in the context. Third, when given the choice, participants tended to prefer more specific words over adding modification - that is, using lexical rather than syntactic means to resolve ambiguity. This suggests that it may be less demanding to increase informativity of referring expressions with lexical specification than syntactic modification.
The Relation of Indonesian Language Learning to the Environment

Efforts to preserve the environment through reading texts in language learning representatively can actually give an idea of how rich human knowledge of nature is. through formal and non-formal education as a 'pocket' (base) the intellectual community needs to integrate environment-based learning in language learning. Thus, environment-based language learning can help students master language learning but also build the construction of human intelligence to interact with nature (maintain) for the benefit of the life cycle in the future. Education is a place where humans are formed to seek and collect various information that will certainly be useful for the formation and development of human cognitive (intelligence) infrastructure about many things, one of which is about ecology (environment/nature).
CASE STUDY: ELEARNING IN COMMUNITY OF PRACTICE FOR MANAGING BY PROJECT

New Internet technologies have expanded the possibilities of interaction, overcoming geographical restrictions. The training within communities of practices that have their own identity, determined by both the specific competencies of its participants and the common domain (field of activity, mission, values, topic), paves the way gradually in different sectors and at different levels. The research aims at generalizing the experience in organization and implementation of e-learning on Management of Projects in Community of Practice: Sustainable Development for further use and formation of virtual environments for professional training, exchange of experience, and distribution of innovations.This article summarizes the typical components of a community of practice as the basis of professional educational systems creation and knowledge management method. The paper considers the essence and prerequisites of successful e-learning. It reveals peculiarities of the virtual learning environment of the "Local Development Project Management" electronic course, which combines all the learning activities and course goals, creates the effect of social presence and co-creation. The main points of the course design should draw attention to its topics, adjust each of its elements to the needs of participants in cognition and learning, motivation for actions, cooperation, and interaction. Methods used include analysis and synthesis, induction and deduction, logical generalization, and comparison.
Realtime Collaborative Whiteboard Application

E-learning can be used to assemble virtual classrooms, which can be a cost-effective method. Unfortunately, the properties of the learning material are limited, which makes it difficult to converse, making the document's template even more confusing, especially when it comes to fabrics. Visual conversation includes illustrations, sketches, diagrams, and modelling. Accordingly, there is a need for a flexible learning media solution that can be applied in the mix. A fully interactive web-based format is generally recommended in this study. Use a whiteboard application to enhance virtual learning services. The format is created using a cascading program. The Internet has the potential to create a web of collaborative and exciting content to stimulate and support virtual learning, especially distance learning.
INDIVIDUALIZED LEARNING IN THE CONTEXT OF BLENDED MODE OF THE EDUCATIONAL PROCESS IN SECONDARY SCHOOL: CHALLENGES AND EXPECTATIONS

Modern learning is the ultimate collaboration between teacher and student. Much like a doctor, the teacher must assess each individual’s needs, then prescribe the right solution for that person by crafting an appropriate curriculum and delivering it in a way that is meaningful. The principal aim of the research is to get an insight into contemporary issues of the individualized learning against the backdrop of blended learning in secondary school, to say nothing of the future directions for its progress and exercising. The group of researchers prepared a web-based experimental questionnaire (intended for schoolteachers and parents) targeted at illustrating the didactic potential and educational opportunities of the individualized learning as an effective remedy of preventing malign influence and retaining the quality while rendering the learning services faced with unanticipated shift to distance learning due to the COVID-19 pandemic. The inquiry-based pattern which was chosen with the aid of a voluntary response sampling technique comprised some 500 schoolteachers and parents from a various metropolitan secondary schools. Qualitative data analysis of the data obtained offer the opportunities for forming didactic rationale of the individualized learning, which could facilitate the learning process in secondary school as close as accomplishable to practical application of the learner-centered principle within a competency-based approach and digitalization of education. Alternatively, the obtained findings and logical conclusions showed the trends of teaching modes, methods and tools transformation of the individualized learning within the conditions of blended learning in secondary school.
Diverse Imitation Learning via Self-Organizing Generative Models

Imitation learning is the task of replicating expert policy from demonstrations, without access to a reward function. This task becomes particularly challenging when the expert exhibits a mixture of behaviors. Prior work has introduced latent variables to model variations of the expert policy. However, our experiments show that the existing works do not exhibit appropriate imitation of individual modes. To tackle this problem, we adopt an encoder-free generative model for behavior cloning (BC) to accurately distinguish and imitate different modes. Then, we integrate it with GAIL to make the learning robust towards compounding errors at unseen states. We show that our method significantly outperforms the state of the art across multiple experiments.
Thoughts on hypervisor-based virtualization threats and vulnerabilities / Pensamentos sobre ameaças e vulnerabilidades de virtualização baseadas no hipervisor

As vulnerability and threat analysis play a vital role in software security in an ever-increasing digital world of virtualized computer and information systems, it is paramount that key security concepts are understood and that crucial security practices are applied in order to safeguard these types of assets. For that, this work attempts to provide an insight at vulnerabilities and threats related to the hypervisor model of virtualization while also fomenting a discussion about the security demands and challenges that this technology brings.
Systematic Literature Review: Software Engineering Frameworks

Abstract The definition of a Framework from the English dictionary is a basic structure, plan, or system, as of concepts, values, customs, or rules. Another definition is a skeletal structure designed to support or enclose something. In Software Engineering, a framework is a common term, and the field has it grew also proliferated an uncountable number of frameworks. Considering the increasing number of frameworks within Software Engineering, researchers think it valuable to precisely establish the definition of framework within the context of Software Engineering, which types of frameworks exist and the expected benefits of having them as a basis for creating future Software Engineering frameworks. Therefore, in this paper, researchers applied a Systematic Literature Review to the framework developed within the academia, and the findings are summarized.
Kebencanaan Akibat Pandemi

In accordance with the motto of the USU Library "Library is the Heart of the University", of course the academic community within USU really needs library services. As a result of the covid19 pandemic, which was faced by USU to continue to provide the best services that could be utilized by the academic community of the University of North Sumatra. This paper aims to explain and find out the innovations made through the USU library's excellent service: disaster due to pandemic. Excellence services available are: 1). Turniti test service, 2). University library book ordering service, 3). Branch library book ordering service, 4). Short loan collection book ordering service (KPS), 5). Student Final Project Services, 6). Service for ordering e-journal articles and e-books, 7). SKBP (library free certificate). The method used is a literature study. The data sources for this paper are the USU Library's web and social media. The results of this study are 1). Access: convenience and facilities, 2). Content: number of types, and organization, 3). Search facility: search system, and display of results.
L1 INTERFERENCE IN L2 WRITING: A STUDY ON YEAR 3 BTESL STUDENTS

This study attempts to identify the interferences of L1 in L2 writing among final year Malay students taking Bachelor in Teaching English as Second Language (TESL) in a Higher Education Institute in Shah Alam, Malaysia. 73 bilingual Malay students who are in their final year of study participated in this study. Data collection tool included two instruments; 1) a questionnaire in which the participants were asked regarding their perception on the interference of their L1 in their L2 writing, as well as 2) written discourse in the form of descriptive essays. The participants were provided with a text in Malay language to be convert into the second language within 30 minutes. Then, the errors were classified into six (6) categories according to the prepared rubric to find out the impact of L1 interferences in L2 writing. The findings of this study have shown that the biggest impact of first language interference can be seen in the writing is grammar, word choice, spelling, punctuation and content, whereas no evidence of error in capitalization. Yet, the negative impact on the transfer of L1 to writing in L2 were likely committed because of the non-existence of a certain rule or concept in the L1 of the participants. Besides, students’ perceptions on the interference of L1 in L2 writing have shown that they are not aware of the inadequate knowledge of English language that may have led them to do these kinds of errors.
ASIC Implementation of Hardware Efficient DTCWT Architecture for Intra Prediction HEVC Coding in Complex Wavelet

Hardware efficient DTCWT architecture for intra prediction coding that is designed using systolic array algorithm is presented in this work.In order to have a trade-off between computation complexity and latency systolic array based architecture is designed for DTCWT computation.Design of optimum structure for systolic array algorithm is presented.Parallel processing of the input images considering multiple rows and columns is designed to accelerate the throughput.The systolic array structure design presented in this work is for multiplying matrix of 6 x 6 and 6 x 4 elements.The data control unit provides synchronization of information flow in both the SAA structures.The design is synthesized in the Cadence environment, post place, map and route simulation also have been carried out.Tables in the text summarizes the initial estimation of area performances for the four different timing constraints set.The maximum operating frequency is identified to be of 300 MHz and the power dissipation is limited to less than 3 mW at 2.0 V power.Further optimization in the design metrics can be achieved by increasing the number of frames to be processed.
The Impact of Adopting Innovative Technologies in Telecommunications Companies on Constructive and Destructive Behaviors of Leaders

The study aims to identify the impact of adopting innovative technologies in telecommunications companies on constructive and destructive behaviors of leaders. A quantitative questionnaire survey was adopted, and the data was collected from 380 employees of the three major telecommunications companies in Jordan (Orang, Zain, and Umniah). The results revealed a positive impact of adopting innovative technologies on constructive leadership behaviors. Furthermore, adopting innovative technologies has no impact on destructive leadership behaviors. Our research mainly contributes positively and significantly to highlighting the importance of shifting focus in organizations that rely on innovative technology from the detrimental impact of a disruptive leader on company sustainability and service improvement. This study contributes to the literature on innovation and modern technology in general and the literature on leadership behaviors and constructive and destructive leadership in particular. First, to the authors' knowledge, this study is the first to examine the impact of innovative technology on leaders' behaviors. Second, although the broader leadership and technology literature has provided some new insights into the direct impact of the interaction between leader behaviors and technology adoption, the results have often been inconclusive.
Quantum Cryptanalysis of Affine Cipher

Abstract Quantum Algorithms reduce the computational complexity or solve certain difficult problems that were originally impossible to solve with classical computers. Grover's search algorithm is a Quantum computation algorithm that can find target elements from a set of unstructured data with the best possible, O(√ N) queries. Grover's search Quantum circuits implemented accurately can be used to successfully search and find the keys of Symmetric ciphers. However, very few demonstrations of such practical cryptanalysis are available. In this paper, practical Quantum cryptanalysis circuits for Affine Cipher are proposed and demonstrated, that successfully break the cipher by finding the keys.
Layer Based Firewall Application for Detection and Mitigation of Flooding Attack on SDN Network

Software-Defined Networking (SDN) is an emerging Network technology that can augment the data plane with control plane by using programming technique.However, there are a numbers of security challenges which are required to address to achieve secured communication.Flooding attack is one of the most common threats on the internet for the last decades which is becoming the challenging issues in SDN networks too.To address these issues, we proposed a novel firewall application developed based on the multiple stages of packets filtering technique to provide flooding attack prevention system and layer-based packets detection system.In this research, we are using two main stages to detect the flooding attack and mitigate the flooding packets.The first stage is to identify the attacks and, the second stage is to identify the attacker's information and act them based on layer-based packet header entity.The system contains two security entities to identify the flooding attacks, one is by measuring the packet size, and the other is by counting the packets flow.We used the details of packets flow to control over the flow and to identify the attacks being occurred or not.Along with, to identify the attacker's information, we used layers (layer 2 to layer 4) based packet header entities by using multi-table architecture.The proposed solution was tested for different attack scenarios and successfully reduced the flow of volume-based bulk-size flooding attack and infinite packets flooding attack in SDN network.
Applying genetic algorithm for optimization income value

In this digital era, the use of information technology and internet technology cannot be separated from digital services. Starting from product promotion media, recording customer data, determining the amount of revenue from product sales, and optimizing the value of revenue. Sales of digital service products owned by PT. XYZ needs to be evaluated to find out which products are most in demand by customers from each product offering that has been made. Therefore we need a system to calculate revenue from the number of customers who use the product for further promotion. The object of this research focuses on optimizing the value of income at PT. XYZ of the products they market, the results of the object will be used as an evaluation to determine a new strategy in carrying out promotions for products that are less attractive to customers. The data used in this study is customer data for January 2017-December 2021. The method used in this study uses a genetic algorithm to determine the optimization of the revenue value. For the optimization results, the genetic algorithm went well, because it resulted in a smaller comparison of error values ​​compared to values ​​that were not optimized. The error value in January 2019 with a non-optimized value was 35,498.8 and the optimized value got an error value of 32,364.9. The results of this study are used as a sales evaluation to increase promotions on digital services that are less attractive to customers. In addition, the results of the application of this genetic algorithm method can provide a better solution to increase income in the next period.
A Lightweight Trust-less Authentication Framework for Massive IoT Systems

When we talk about the Internet of Things, we are referring to the connecting of things to a1 physical network that is embedded with software, sensors, and other devices that allow information2 to be exchanged between devices. It is possible that the interconnection of devices will present3 issues in terms of security, trustworthiness, reliability, and confidentiality, among other things.4 The proposed approach is effective at detecting intrusions into the Internet of Things network.5 Initially, the privacy-preserving technology was deployed utilising a Blockchain-based methodology6 to ensure that personal information was protected. Patients&amp;rsquo; health records (PHR) security is the7 most crucial component of encryption over the Internet because of the value and importance of these8 records, particularly in the context of the Internet of Medical Things (IoMT). The search terms access9 mechanism is one of the most common approaches used to access personal health records from a10 database, but it is vulnerable to a number of security flaws. However, while blockchain-enabled11 healthcare systems provide increased security, they may also introduce weaknesses into the current12 state of the art. Blockchain-enabled frameworks have been proposed in the literature as a means13 of resolving those challenges. These solutions, on the other hand, are primarily concerned with14 data storage, with Blockchain serving as a database. To enable secure search and keyword-based15 access to a distributed database, this study proposes the use of blockchain technology as a distributed16 database, together with a homomorphic encryption mechanism. Aside from that, the suggested17 system includes a secure key revocation mechanism that can be used to automatically update various18 policies.As a result, our proposed approach provides greater security, efficiency, and transparency19 while also being more cost-effective. We have compared the findings of our proposed models with20 those of the benchmark models, if appropriate. Our comparison research demonstrates that our21 suggested framework provides a more secure and searchable mechanism for the healthcare system22 than the current state of the art.
Failure Free Cloud Computing Architectures

Cloud computing has gained popularity over the years, some organizations are using some form of cloud computing to enhance their business operations while reducing infrastructure costs and gaining more agility by deploying applications and making changes to applications easily. Cloud computing systems just like any other computer system are prone to failure, these failures are due to the distributed and complex nature of the cloud computing platforms. Cloud computing systems need to be built for failure to ensure that they continue operating even if the cloud system has an error. The errors should be masked from the cloud users to ensure that users continue accessing the cloud services and this intern leads to cloud consumers gaining confidence in the availability and reliability of cloud services. In this paper, we propose the use of N-Modular redundancy to design and implement failure-free clouds.