Reviewerly/exHarmony huggingface dataset:
Penilaian Mahasiswa BIPA terhadap Pembelajaran Tatap Muka dan Online

The transition of face-to-face learning to online in a short time due to the Covid-19 pandemic is certainly not easy, both for teachers and for students. In this regard, the purpose of this paper is to explain 1) an overview of BIPA learning before and at the beginning of Covid-19; 2) learners' assessment of the ease, constraints of online learning, and their comparison with face-to-face; 3) learners' written opinion regarding online and face-to-face learning. This research is a qualitative descriptive design. Data were collected through observation and questionnaires. As a result, the form of face-to-face assignments consists of individuals, groups, and fields, whereas online is only individual assignments; the learning material is the same: grammar, 4 language skills, culture; PPSX, WA, e-mail learning tools. Learners experience problems in online learning. The learner has written advice in interactive learning and the use of English. Face-to-face learning is better than online learning.
Metaphor Co-Creation in Reframing Cybersecurity Issues

espanolEste articulo corrobora el potencial explicativo e interpretativo del razonamiento analogico para resolver la ambiguedad de definir la ciberseguridad. Al aplicar los metodos de la linguistica cognitiva y de la linguistica de corpus, se presenta un intento de mostrar como la estrategia de co-creacion de metaforas puede resultar util para reformular el discurso en torno a la ciberseguridad dominada por metaforas inadecuadas. Estas ultimas, a su vez, provocan inferencias erroneas, que finalmente dan como resultado decisiones equivocadas sobre la naturaleza de las cibervulnerabilidades. La comparacion de la valencia conversacional introducida tanto por los profesionales como por los no expertos involucrados en la campana de co-creacion de nuevas expresiones metaforicas revela como se canaliza el discurso de seguridad cibernetica, describiendo seguidamente las implicaciones que conlleva la aplicacion de las metaforas recien creadas. EnglishThe paper substantiates the explanatory and interpretative potential of analogical reasoning in resolving the ambiguity of defining cybersecurity. By applying cognitive linguistics and corpus linguistics methods, it presents an attempt to showcase how the metaphor co-creation strategy may be helpful in reframing the discourse around cybersecurity dominated by inapt metaphors. The latter, in their turn, prompt wrong inferences, which ultimately results in false decisions about the nature of cyber vulnerabilities. The comparison of the conversational valence introduced by professional audience and laymen involved in the campaign of co-creating new metaphor-based utterances reveals how it channels the cybersecurity discourse, and is followed by outlining the implications of applying the newly created metaphors.
Evaluating Students’ Cyber Ethics Awareness in a Gender-Segregated Environment Under the Impact of COVID-19 Pandemic

Cyber ethics are essential components of information technology. The COVID-19 situation has brought unprecedented challenges to traditional higher education institutions, especially for students using their electronic devices in all their learning activities. This study focused on cyber ethics perceptions among university undergraduates’ students during COVID-19 conditions. It aims to analyze the extent to which distinct attributes, such as gender, education level, grades, or Cumulative Grade Point Average (CGPA), and major are related to cyber ethics awareness. An online survey was conducted on a sample of 322 undergraduates studying Information Technology majors and other majors to assess university students' cyber ethics awareness levels at a University in the UAE. The results show that, in general, respondents were aware of cyber ethics. In particular, gender and education level were found to directly affect cyber ethics awareness, while major and grades have no statistically significant effect.
CRS-iEclat: Implementation of Critical Relative Support in iEclat Model for Rare Pattern Mining

The research purpose is to develop a performance enhancement in Incremental Eclat (iEclat) model by embedding Critical Relative Support (CRS) in mining of infrequent itemset.The CRS measure acts as an interestingness measure (filter) in iEclat model that comprises of i-Eclat-diffset algorithm, i-Eclatsortdiffset algorithm and i-Eclat-postdiffset algorithm for infrequent (rare) itemset mining.The association rule is performed to reveal the relationships among itemsets in a transactional database.The task of association rule mining is to discover if there exist the frequent itemset or infrequent patterns in the database and if any, an interesting relationship between these frequent or infrequent itemsets can reveal a new pattern analysis for the future decision making.Regardless of frequent or infrequent itemsets, the persisting issues are deemed to execution time to display the rules and the highest memory consumption during mining process.CRS-iEclat engine is proposed to overcome the said issues.Prior to experimentation, results indicate that CRS-iEclat outperforms iEclat from 54% to 100% accuracy on execution time (ET) in selected database as to show the improvement of ET efficiency.
Models of networking cooperation in higher education: from theory to practical implementation

The article deals with the issues of improving the quality of higher education through the implementation of networkingcooperation with various spheres of science, economics, culture, etc.It is noted that for the first time, Federal Law No. 273-FZ of 29.12.2012"On Education in the Russian Federation" defines the basis for implementing joint educational programs and networking cooperationbetween universities.Successfully functioning models of networkingcooperationare presented: "educational organization -educational organization", "university-enterprise", "universityresearch institute".The features of each model are described and the experience of the universities of the Far Eastern Federal District in implementing the main models of networkingcooperation is presented.The article may be useful to the management of Russian universities where networking cooperation is developing.
Corporate innovation in developing countries: role of legal institutions and property rights protection

The purpose of this study is to identify the impact of legal institutions and property rights protection on corporate innovation among developing countries.,To testify these hypotheses, we use firm-level data from the World Bank Enterprise Survey, and country-level information from Worldwide Governance Indicators, World Development Indicators and Global Competitiveness Reports. The final data set consists of 24,166 firm observations, from 41 developing countries.,By using a wide range of control variables, the results propose that well-organized legal institutions stimulate corporate innovation . More precisely, a strong rule of law, effective government and protected property rights encourage firm-level innovation. Countries’ rule of law guarantees to solve disputes between parties and provide legitimate rights in case of innovation replication. Rule of law also directs that rules made by policymakers to secure the rights of innovators are well enforced. Moreover, strong property rights ensure innovators that the innovations are protected, and in case of any infringement, the guilty party will be punished and fined.,This study aims to investigate the role of all effective aspects legal institutions and property rights protection on corporate innovation among developing countries. Such security to prevent unlawful duplication will ultimately increase innovation.
Adaptive Edge Attention for Graph Matching with Outliers

Graph matching aims at establishing correspondence between node sets of given graphs while keeping the consistency between their edge sets. However, outliers in practical scenarios and equivalent learning of edge representations in deep learning methods are still challenging. To address these issues, we present an Edge Attention-adaptive Graph Matching (EAGM) network and a novel description of edge features. EAGM transforms the matching relation between two graphs into a node and edge classification problem over their assignment graph. To explore the potential of edges, EAGM learns edge attention on the assignment graph to 1) reveal the impact of each edge on graph matching, as well as 2) adjust the learning of edge representations adaptively. To alleviate issues caused by the outliers, we describe an edge by aggregating the semantic information over the space spanned by the edge. Such rich information provides clear distinctions between different edges (e.g., inlier-inlier edges vs. inlier-outlier edges), which further distinguishes outliers in the view of their associated edges. Extensive experiments demonstrate that EAGM achieves promising matching quality compared with state-of-the-arts, on cases both with and without outliers. Our source code along with the experiments is available at https://github.com/bestwei/EAGM.
A family of bimodal distributions generated by distributions with positive support

Bimodal data sets are very common in different areas of knowledge. The crude birth rates data, fish length data, egg diameter data, the eruption and interruption times of the Old Faithful geyser, are examples of this type of data. In this paper, a new class of symmetric density functions for modeling bimodal data as described above are presented. From density functions with support on [0,+∞), the symmetry is getting by reflecting the density function in the negative semi-axis with their respective normalization. In this way, if the primitive density function is unimodal, then the resulting density will be bimodal. We introduce asymmetry parameters and study their behavior, in particular the values of their modes and some other statistical values of interest. The cases for densities generated by Gamma, Weibull, Log-normal, and Birnbaum-Saunders densities, among others are studied. Statistical inference is performed from a classical perspective. A small simulation study to evaluate the benefits and limitations of the new proposal. In addition, an application to a data set related to the fetal weight in grams obtained through ultrasound in a sample of 500 units is also presented; the results show the great usefulness of the model in practical situations.
Designing with Users: A Participatory Design as a Community Engagement Program in the City Zoo

This article discusses a participatory design project that aims at creating a collaborative design among architectural students, visitors, and zoo management in designing street furniture and selfie spots in city zoos.Participatory design is used in the design process to get the users' and designers' interpretation of the space, improve design outcomes, and increase the community awareness of their surroundings.As part of the Universitas Indonesia Community Engagement Program, the zoo design project fosters a collaborative design between the university and zoo community and supports the educational, conservational, and recreational goals of Ragunan Zoo in Jakarta.Designing street furniture and selfie spots can hopefully be parts of improving the quality of public space in the zoo.Students and lecturers who usually have limited opportunity to collaborate now have a chance to interact with visitors and the zoo management during the research and design stages while visitors actively collaborate in informing their needs and perception of the space.The zoo management also provides information on their goals and missions so that students can develop and convert the education, conservation, and recreation goals of the zoo into designs.In conclusion, the participatory design approach applied in the zoo design not only allows students to deal with real-life issues in design but also enhances space quality through community participation.
Management of software development projects in Brazil using agile methods

The aim of the paper is to analyze how agile management practices are being adopted by specialists from software development technology companies in Brazil, identifying actions that contribute to the success of software implementation, aiming to ensure the survival of organizations in the market. The study counted with a literature review to support the field research with software development specialists who use the agile methodology and work in Brazil in the states of Rio de Janeiro and São Paulo. The results were analyzed through a descriptive statistics and content analysis. The research identified that the companies that adopt agile software management methodology in Brazil prefer the Scrum method and the development teams may be geographically distributed. The main positive points identified when adopting agile methods were the process speed, team involvement, maximization of results, involvement with the client, and simplicity. Most experts identified problems in the implementation of the agile methodology and as points of attention: management of distributed teams, scope estimation and communication. It was possible to identify the existence of a positive financial result by adopting the agile method for software development projects, as well as actions that contribute to the success of these projects, such as controlling quality using different testing techniques, project management, time, stakeholders, scope, and have agile communication, with feedback and good leadership. On the other hand, it was observed in the statistics that, although efficient, this method is still not being widely used. This research can contribute to the managers of software development companies in the use of agile methods as well as improving management decision-making.
Frontal Attack: Leaking Control-Flow in SGX via the CPU Frontend

We introduce a new timing side-channel attack on Intel CPU processors. Our Frontal attack exploits the way that CPU frontend fetches and processes instructions while being interrupted. In particular, we observe that in modern Intel CPUs, some instruction's execution times will depend on which operations precede and succeed them, and on their virtual addresses. Unlike previous attacks that could only profile branches if they contained different code or were based on conditional jumps, the attack allows the adversary to distinguish between instruction-wise identical branches. As the attack requires OS capabilities to set the interrupts, we use it to exploit SGX enclaves. Our attack demonstrates that a realistic SGX attacker can always observe the full enclave instruction trace, and secret-depending branching should not be used even alongside defenses to current controlled-channel attacks. We show that the adversary can use the Frontal attack to extract a secret from an SGX enclave if that secret was used as a branching condition for two instruction-wise identical branches. The attack can be exploited against several crypto libraries and affects all Intel CPUs.
AutoDock-IPS: An Automated Docking for Mobile Robot Based on Indoor Positioning System

Mobile robots are proven to be reliable in supporting the human tasks by using a computerized system that minimizes human errors. However, recharging the battery in these robots is still performed manually by the user. Therefore, to extend their lifetime, an indoor automatic docking system ‘AutoDock-IPS’ is created for mobile robot to charge its battery automatically. The automatic docking system determines the location of the docks (i.e., charging stations) so that, prototype can immediately navigate to them. Experiments were carried out to validate the docking method by utilizing a compass module as a direction sensor and a rotary encoder as a displacement indicator. These sensors are combined into a robust indoor positioning system. The results show that the prototype can find the fastest route to the docking station to perform battery charging procedure.
KONSEPTUALISASI PERAN TEKNOLOGI INFORMASI DALAM PRAKTIK AUDIT UNTUK MEMBANTU PENGUNGKAPAN FRAUD DI INDONESIA

So many cases of fraud have accured in Indonesia as well as the world today has entered the digital era. This study aims to determine with the development of information technology their role in audit practice in detecting fraud in Indonesia. The method used in this research is a systematic literature review using secondary data derived from literature and online media. The results of this study indicate that currently many techniques are used in detecting fraud by employing information technology such as general audit software, computer forensics, DFM (Digital Forensic Model) and whistleblowing systems that are now shifthing to digitization.
A Hybrid Machine Learning Model to Detect Reflected XSS Attack

Since web technologies are getting more advanced with longer codes, the number of vulnerabilities has increased considerably. Cross-site scripting (XSS) attacks are one of the most common attacks that use vulnerabilities in web applications. There are three types of cross-site scripting attacks namely, reflected, stored, and DOM-based attacks. Reflected XSS attacks are the most common type that is usually implemented by injecting a malicious code into the URL and then sending the URL to the targeted system by using phishing methods, which is a significant threat for recent web applications. Our motivation is the lack of a high performance detection method of reflected XSS attacks with high accuracy. In this paper, we propose a hybrid machine learning model to detect vulnerabilities related to reflected XSS attacks for a given URL of a website. Our model uses a scanner to discover vulnerabilities in a web site and convolutional neural networks to predict the most common vulnerabilities that may be used for reflected XSS attacks, which makes the proposed model hybrid. We analyzed the model experimentally. Analyses results show that the proposed model is able to detect vulnerable attack surfaces with 99 % accuracy.
Research on the circulation of maritime documents based on blockchain technology

Abstract Maritime goods from the shipper to the consignee will go through cumbersome trade procedures. The traditional paper documents used in this process will cause some damage to the environment. Therefore, it is proposed to introduce blockchain technology in the circulation of shipping documents, and realize paperless customer service by using its characteristics of non-tamperability traceability and trust. This paper first reviews the literature on blockchain in the shipping industry, and then analyses the risks in the circulation of shipping documents and the efficiency of document circulation. Then it puts forward the shipping document circulation system architecture based on alliance block chain, and finally gives policy suggestions.
Correction to: Improved Butterfly Optimization Algorithm for Data Placement and Scheduling in Edge Computing Environments

A Correction to this paper has been published: https://doi.org/10.1007/s10723-021-09562-2
RETRACTED: Research on the Reform of English Education based on the Internet Information Technology

Abstract Under the background of rapid development of modern information technology and mobile network communication, the informationization of teaching has been more and more prevalent. Therefore, this paper studies the current situation of English teaching under the information environment, systematically explains how the information English teaching method promotes the reform of the education system and promotes the development of education, hoping to provide a clear development path for the future informationization English teaching.
A spatial image compression algorithm based on run length encoding

Image compression is vital for many areas such as communication and storage of data that is rapidly growing nowadays. In this paper, a spatial lossy compression algorithm for gray scale images is presented. It exploits the inter-pixel and the psycho-visual data redundancies in images. The proposed technique finds paths of connected pixels that fluctuate in value within some small threshold. The path is calculated by looking at the 4-neighbors of a pixel then choosing the best one based on two conditions; the first is that the selected pixel must not be included in another path and the second is that the difference between the first pixel in the path and the selected pixel is within the specified threshold value. A path starts with a given pixel and consists of the locations of the subsequently selected pixels. Run-length encoding scheme is applied on paths to harvest the inter-pixel redundancy. After applying the proposed algorithm on several test images, a promising quality vs. compression ratio results have been achieved.
Exploration of Smart Classroom Teaching Mode of Basic Courses of Visual Communication Design Major in Colleges and Universities Based on MOOC + Flipped Classroom

NOTICE OF RETRACTION: While investigating potential publication-related misconduct in connection with the ICIMTech 2021 Conference Proceedings, serious concerns were raised that cast doubt on the integrity of the peer-review process and all papers published in the Proceedings of this Conference. The integrity of the entire Conference has been called into question. As a result, of its investigation, ACM has decided to retract the Entire Conference Proceedings and all related papers from the ACM Digital Library.
On Search Complexity of Discrete Logarithm

In this work, we study the discrete logarithm problem in the context of TFNP - the complexity class of search problems with a syntactically guaranteed existence of solutions for all instances. Our main results establish that suitable variants of the discrete logarithm problem are complete for the complexity class PPP, respectively PWPP, i.e., the subclasses of TFNP capturing total search problems with a solution guaranteed by the pigeonhole principle, respectively the weak pigeonhole principle. Besides answering an open problem from the recent work of Sotiraki, Zampetakis, and Zirdelis (FOCS’18), our completeness results for PPP and PWPP have implications for the recent line of work proving conditional lower bounds for problems in TFNP under cryptographic assumptions. In particular, they highlight that any attempt at basing average-case hardness in subclasses of TFNP (other than PWPP and PPP) on the average-case hardness of the discrete logarithm problem must exploit its structural properties beyond what is necessary for constructions of collision-resistant hash functions.Additionally, our reductions provide new structural insights into the class PWPP by establishing two new PWPP-complete problems. First, the problem Dove, a relaxation of the PPP-complete problem Pigeon. Dove is the first PWPP-complete problem not defined in terms of an explicitly shrinking function. Second, the problem Claw, a total search problem capturing the computational complexity of breaking claw-free permutations. In the context of TFNP, the PWPP-completeness of Claw matches the known intrinsic relationship between collision-resistant hash functions and claw-free permutations established in the cryptographic literature.
Exploration and Practice of Hybrid Teaching Mode Based on Mobile Terminal-Taking Human Resources Management Information System as an Example

NOTICE OF RETRACTION: While investigating potential publication-related misconduct in connection with the ICIMTech 2021 Conference Proceedings, serious concerns were raised that cast doubt on the integrity of the peer-review process and all papers published in the Proceedings of this Conference. The integrity of the entire Conference has been called into question. As a result, of its investigation, ACM has decided to retract the Entire Conference Proceedings and all related papers from the ACM Digital Library.