Reviewerly/exHarmony huggingface dataset:
Analysis of Http Cookie Hijacking in the Wild

Because cookies act as the sole evidence of user identification, web sessions are especially vulnerable to attacks through session hijacking, where the server operated by a specific user sends users ' identity requests. If n &gt; 1 cookies are used to execute a session, n sub-sessions that actually run on the same website where the individual cookies are used to access part of the session's state details. Our cookie hijacking analysis shows a range of significant defects; attackers may reach Google's home address and work address and websites that are accessed by Bing or Baidu, show the entire browsing history of the user, and Yahoo enables attackers to delete the list of contacts and upload emails from the account of the consumer. For fact, e-commerce providers such as Amazon and Ebay have a limited, complete customer order background, so almost all platforms have a user name so e-mail address on their page. Ad networks like Doubleclick will also expose pages accessed by the customer. In this article, we propose to improve the latest state-of - the-art HTTP(S) session control by utilizing user fingerprint.A vast range of functionalities of the new client tracking makes session identification on the server observable and dramatically increases the threshold for attackers. Furthermore, this paper describes HTML5 and CSS capabilities for client fingerprinting and the recognition or authentication of a device by using the UserAgent list.
An empirical study for evaluating performance of King Abdulaziz International Airport with six sigma

This research is intended to evaluate the efficiency of proceures and processes used by the King AbdulazizInternational Airport (KAIA) in Jeddah, Saudi Arabia with the help of Six Sigma. For, we have framed differentobjectives for analyzing the effect of six sigma in decision makings and quality control of the KAIA. The aim is also tofind out the relationship of Six Sigma on an information system used by KAIA. We have used the qualitative researchmethod (semi-structured interview method) with the target population of five employees working at KAIA. Qualitativedata was collected from participants through transcribed, audio-recorded and codes. Thematic analysis was carriedout in order to obtain the study result. Our study finds that there is a significant effect of Six Sigma in streamlining ofall the processes of KAIA, which contributed towards the improvement of the quality and providing better control. Wefound that the KAIA applies KPIs to measure the decision makin, empowering the decision makers or managers. Wehave also reflected on the role of Six Sigma towards the effective performance of individuals in finance, customersupport, and internal business process and team development.
MILESTONES IN TRANSLATING CHINESE LITERATURE FOR CHILDREN INTO RUSSIAN LANGUAGE

The purpose of this study is to observe the overall picture of translations of Chinese literature for children into Russian language from the first editions to the present day. In addition to compiling a complete chronological list of all Chinese books translated into Russian from the category of children’s reading, our tasks included identifying and characterizing the main periods, trends and patterns in the development of translation and book publishing of Chinese children’s literature in Russian, analyzing the dynamics of translations in different years, analyzing the activities of translators who contributed to the development of cultural ties between the two countries, listing the names of the best illustrators, whose work played an important role in popularizing Chinese literature for children, identifying the main problems in translation and publication of children’s Chinese books in Russia at different periods. After studying the general picture of translations of Chinese literature for children into Russian, as well as taking into account the nature of historical events and political relations between China and Russia, we propose to distinguish the following seven periods in translation: 1779–1917; 1918–1949; 1950–1959; 1960–1980; 1981–1991; 1992–2013; since 2014.
Facial Expression Detector using a Five-Layered Convolutional Neural Networks

A face is a very important aspect in communication. Often, it is through face expressions that people understand what another person is trying to convey or in what mood he/she is saying it in. It also helps in realising what a person’s mental or emotional state is at a particular moment of time.Thus, recognising a facial expression is essential in day to day communication. Our proposed model implements a facial expression recogniser that categorises a face expression into one of the seven expressions: Happy, Sad, Angry, Surprised, Fearful, Neutral andDisgusted. The model uses Convolutional Neural Network (CNN) having five layers. The model gives an immediate representation ofthe predicted expression by displaying an emoji associated with. Not just that, our model will also show the percentage of each of the seven expressions so that the understanding of the expression is better.A face expression recogniser can be used in areas face biometrics, forensics and security system. Not only that, it can be used in a commercial or financial aspect by judging customer interests. Also, ararely used application of such an application is to aid Autistic people in communication.
RECIPROCAL TEACHING OF READING TO PROMOTE STUDENTS’ CRITICAL THINKING

This paper is a case study that aims at finding out the Reciprocal Teaching of Reading to Promote Students’ Critical Thinking. The researchers used a case study in this qualitative research. The research participants of this study were the ninth grade of Islamic Junior High School in Tasikmalaya, consist of twenty five students. In collecting data, the researchers used triangulation method as data collection techniques. The instruments are observation, interview, and questionnaire. The result showed that most of students’ perceptions are good. It is recommended for English teacher to used Reciprocal Teaching in Reading to promote students’ critical thinking.Key words: Reciprocal Teaching, Reading, Students’ Critical Thinking
Corpus Processing Service: A Knowledge Graph Platform to perform deep data exploration on corpora.

Knowledge Graphs have been fast emerging as the {\em de facto} standard to model and explore knowledge in weakly structured data. Large corpora of documents constitute a source of weakly structured data of particular interest for both the academic as well as the industrial world. Key examples include scientific publications, technical reports, manuals, patents, regulations, etc. Such corpora embed many facts that are elementary to critical decision making or enabling new discoveries. In this paper, we present a scalable cloud platform to create and serve Knowledge Graphs, which we named \textit{Corpus Processing Service}. Its purpose is to process large document corpora, extract the content and embedded facts, and ultimately represent these in a consistent knowledge graph that can be intuitively queried. To accomplish this, we use state-of-the-art natural language understanding models to extract entities and relationships from documents converted with our previously presented CCS platform. This pipeline is complemented with a newly developed graph engine which ensures extremely performant graph queries and provides powerful graph analytics capabilities. Both components are tightly integrated and can be easily consumed through REST APIs. Additionally, we provide user-interfaces to control the data ingestion flow and formulate queries using a visual programming approach. The CPS platform is designed as a modular microservice system operating on Kubernetes clusters. Finally, we validate the quality of queries on our truly end-to-end knowledge pipeline in a real-world application in the oil and gas industry. To date, the capabilities of CPS are successfully leveraged in more than 5 client engagements.
SURVEILLANCE ROBOT AND TWO AXIS ARM MECHANISM FOR ARMY OPERATIONS

This paper presents a practical present-time approach for surveillance robots at remote locations and enemy territories using a remote controller based robotic vehicle on wireless technology that can be used for defense and military applications.This is used for detection of bombs, since detecting bombs manually contains high risk.So, in order to save their lives this is used.The camera is used to detect and identify human, objects etc.This vehicle is designed to work in limited area with better efficiency for example In Armed forces.They can use these types of robot vehicles in hostage situations to determine the number of terrorists in the building, types of weapons used, bombs etc.It also contains a two axis arm to hold objects.The processing unit used in proposed system is Arduino working on Embedded C. The Arduino controls the movement, gather information from camera that is used to stream the real time video of surrounding to the operator
Arnold Ventures Response to "Request for Information: Public Access to Peer-Reviewed Scholarly Publications, Data and Code Resulting From Federally Funded Research"

This document was submitted by Arnold Ventures in response to a White House request for comments on open access to federally funded research and associated materials (data, code). See https://www.federalregister.gov/documents/2020/03/31/2020-06622/request-for-information-public-access-to-peer-reviewed-scholarly-publications-data-and-code.
Peningkatan Keamanan Router Mikrotik Terhadap Serangan Denial of Service (DoS)

Denial of Service (DoS) attacks are one of the most common attacks on website, networks, routers and servers, including on router mikrotik. A DoS attack aims to render a network router unable to service requests from authorized users. The result will disrupt the operational activities of the organization and cause material and non-material losses. In this study, a simulation and analysis of DoS attacks using the Live Forensics method were carried out and the router security enhancement from rectangular software and hardware. From the research results obtained digital evidence of DoS attacks in the form of IP addresses and attacker activity logs. In addition, the increase in router security in terms of software by using Firewall Filter and Firewall Raw has proven effective in preventing attacks. While improving router security in terms of hardware by setting a reset button on the router and firewall devices is also very necessary so that the router can avoid physical attacks by irresponsible persons
Corrigendum

British Journal of Educational TechnologyVolume 52, Issue 4 p. 1788-1788 CORRIGENDUMFree Access Corrigendum This article corrects the following: Using immersive virtual reality to support designing skills in vocational education Kevin Gonyop Kim, Catharine Oertel, Martin Dobricki, Jennifer K. Olsen, Alessia E. Coppi, Alberto Cattaneo, Pierre Dillenbourg, Volume 51Issue 6British Journal of Educational Technology pages: 2199-2213 First Published online: August 25, 2020 First published: 06 July 2021 https://doi.org/10.1111/bjet.13074AboutSectionsPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL In Kim et al. (2020), there were errors in Table 1. Table 1. Correlations (Pearson's r) between behaviour features and grades Row No. Behaviour features IVR as first activity IVR as second activity Proportion Composition Creativity Proportion Composition Creativity 1 Duration total 0.169 0.024 0.029 0.038 0.209 0.230 2 Percentage design mode 0.295 0.268 0.300 0.393* 0.409* 0.426* 3 Number of objects in design 0.046 0.207 0.119 0.248 0.455* 0.350 4 Number of mode switching −0.159 −0.184 −0.184 0.130 0.283 0.049 5 Number of daytime change simulations −0.380* −0.426* −0.470* −0.244 −0.079 −0.044 6 Number of season change simulations 0.017 −0.188 −0.142 0.187 0.179 0.291 7 Number of tree growing simulations −0.126 −0.300 −0.461* 0.149 0.264 −0.056 8 Total number of simulations −0.232 −0.363 −0.439* −0.059 0.032 −0.043 * p < 0.05. The correct Table should be: Reference Kim K. G., Oertel C., Dobricki M., Olsen J. K., Coppi A. E., Cattaneo A., & Dillenbourg P. (2020) Using immersive virtual reality to support designing skills in vocational education. British Journal of Educational Technology 51, 2199– 2213. https://doi.org/10.1111/bjet.13026 Volume52, Issue4July 2021Pages 1788-1788 ReferencesRelatedInformation
EFL Teachers as Designers of Ubiquitous Learning Experiences

Ubiquitous learning, also known as U-learning, refers to the learner’s ability to learn at any place at any time. This paper argues that U-learning represents a new perspective in terms of pedagogy. The main contributor to this process is foremost the teacher, who has to adhere to the ever-changing language learning/teaching scenery. This study aims at setting the fundamentals of materials development at the intersection of two major areas of contemporary education, namely the needs of the ‘net generation’ students and the educational potential of the evolving social web and digital technology. It seeks to answer the following questions: What is digital technology and how does it lead to U-learning? What is web 2.0 and how does it affect classroom pedagogy, practice, and the design of quality teaching/learning materials? How does it help teachers improve their practice and materials development procedures? And how can teachers transform today’s innovative technology into ubiquitous learning experiences, promoting learner autonomy, regardless of any geographical or institutional boundaries? We will illustrate the whole procedure with a framework for web 2.0 integration that identifies the crucial features underpinning the extramural, ubiquitous learning experiences, in which learners can engage.
Man in the Middle of Face Recognition System: using Skin Color and Template

During last 10 years people are very much attracted to face recognition systems and they are very much eager to solve the issues related to face recognition system. It helped them very much in the field of electronics and uses over pattern unlocking and password entering system. There are numerous applications as for security, affectability and mystery. Detection of a face is the most significant and initial step of recognition framework. This article demonstrates a new method to face recognition system using color and template of an image. Whatever the background it may go to be, our system will detect the face, which is an important stage for face detection. The pictures utilized in this framework for Face detection are the color images, while the images used for the Face Recognition are the Gray images which are converted from color pictures. The illumination compensation technique is applied on all the images for removing the effect of light. The Red, Green, and Blue values of each pixel will be converted to YCbCr space. Based on the probability of each pixel in terms of Cb, Cr values, we extract the skin pixels from the query image,. The positive probability shows a “skin pixel”, while the negative probability shows “not a skin pixel”. Finally the face is projected. In face recognition, we used 4 templates of different sizes for Gabor image content extraction. Finally we employed the relevance feedback mechanism to retrieve the most similar images. If the user did not satisfy with the given results he can give the correct images to the system from the displayed images. Exploratory outcomes demonstrate that the demonstrated system is adequate to recognize face of a human face in a picture with an exactness of 94%.
Just TYPEical: Visualizing Common Function Type Signatures in R

Data-driven approaches to programming language design are uncommon. Despite the availability of large code repositories, distilling semantically-rich information from programs remains difficult. Important dimensions, like run-time type data, are inscrutable without the appropriate tools. We contribute a task abstraction and interactive visualization, TYPEical, for programming language designers who are exploring and analyzing type information from execution traces. Our approach aids user understanding of function type signatures across many executions. Insights derived from our visualization are aimed at informing language design decisions — specifically of a new gradual type system being developed for the R programming language. A copy of this paper, along with all the supplemental material, is available at osf.io/mc6zt
Mining Closed Item sets from Tuple-Evolving Data Streams

Frequent Itemset Mining is playing major role in extracting useful knowledge from data streams that are exhibiting high data flow. Studies in data streams shows that every incoming data is considered as new tuple which is considered as revised tuple in some applications called as tuple evolving data streams. Extracting redundant less knowledge from such kind of application helps in better decision making with new challenges.One of the issue is, due to incoming revised tuple, some of the frequent itemsets may turn to infrequent or previously ignore itemsets may become frequent. Other issue is result of FIM may be huge and redundant results.In this paper, we address solution to the problem by finding closed itemsets from tuple revision data streams. We propose an efficient approach MCST that uses compressed SlideTree data structure to maintain stream data,proposeHIS hash tableto maintain itemsets, and CIS tables to maintain closed id sets to improve search performance of HIS.
Correction to: Employing Multivariate Statistics and Latent Variable Models to Identify and Quantify Complex Relationships in Typical Compression Studies

During the transmission process in publishing the article online, the equal (=) sign was replaced with “0” in Equations 1 to 5. The original article has been corrected.
Analytical Design o f t he D IS Architecture: The Hybrid Model

In the last decades, and due to emergence of Internet appliance, there is a strategical increase in the usage of data which had a high impact on the storage and mining technologies. It is also observed that the scientific/research field’s produces the zig-zag structure of data viz., structured, semi-structured, and unstructured data. Comparably, processing of such data is relatively increased due to rugged requirements. There are sustainable technologies to address the challenges and to expedite scalable services via effective physical infrastructure (in terms of mining), smart networking solutions, and useful software approaches. Indeed, the Cloud computing aims at data-intensive computing, by facilitating scalable processing of huge data. But still, the problem remains unaddressed with reference to huge data and conversely the data is growing exponentially faster. At this juncture, the recommendable algorithm is, the well-known model i.e., MapReduce, to compress the huge and voluminous data. Conceptualization of any problem with the current model is, less fault-tolerant and reliability, which may be surmounted by Hadoop architecture. On Contrary case, Hadoop is fault tolerant, and has the high throughput which is recommendable for applications having huge volume of data sets, file system requiring the streaming access. The paper examines and unravels, what efficient architectural/design changes are necessary to bring the benefits of the Everest model, HBase algorithm, and the existing MR algorithms.
Model dan Strategi Penyuntingan dan Penerbitan di Yuma Pustaka sebagai Penopang Eksisensi Penulis Indonesia

The editing model and strategy has its own characteristics in a publication. This study aims to determine the editing and publishing strategies in Yuma Library. The publisher as the party that organizes the process of receiving the manuscript, editing, printing, and marketing a product in the form of a book for publication. The research used is qualitative research with descriptive methods. Data is collected by analyzing, classifying, and evaluating the results of the internships that have been conducted at Yuma Library. Through the editing process, it can find out the shelling style of one publication is different from other publishing styles. The results of editing will also show the characteristics of a publisher, Yuma Pustaka. This research was based on the results of the internship conducted by the author.
Terrain Generation from User Text using Cellular Automata

Last decade has been witnessed for the dramatic advancement in computer games. Latest studies shows that procedurally generated content makes the players remain engaged for a long time. Incorporating the user’s preferences and creativity in the games is still a challenging task. In this paper, we focus on the diversity of terrain generation in terms of its components. Personalization of user experience via effective modeling, combined with real-time adjustment of the content helps for meaningful content generation. Our engine accepts input from the user in Terrain development language (TDL).The user has to specify the type and features of the terrain. The engine extracts features through Terrain Development Algorithm (TDA) and generates individual components according to the information. The end result is to provide a user skill-matched terrain, which can be rendered for various games.
Protected and Flexible Fulti-Keyword Search Model Over Encoded Cloud Data

Cloud computing is modern technology as a new computing model in number of business domains. Large numbers of large scale departments are starting to shift the data on to the cloud environment. With the benefit of storage as a service many enterprises are moving their valuable data to the cloud, since it costs less, easily scalable and can be accessed from anywhere any time. Improved dynamic multi-keyword ranking search scheme with top key via encrypted cloud data that simultaneously supports dynamic update operations as deleting and inserting documents. Greedy depth first search algorithm is provided for efficiency multi keywords on place and index structure. Cryptography is one of the establishing trust models. Searchable security is a cryptographic method to provide security. In number of researchers have been working on developing privacy and efficient searchable encryptiontypes. We take new effective cryptographic techniques based on data structures like CRSA and B-Tree to enhance the level of privacy. We propose new multi-keyword search query over encrypted cloud information in retrieving top k scored documents. The vector space model and TFIDF model are used to build index and query generation. This paper focuses on multi keyword search based on ranking over an encrypted cloud data. The search uses the feature of similarity and inner product similarity matching. We propose to support the top-k Multi-full-text search for security and performance analysis show that the proposed model guarantees a high safety and practicality and dynamic update operations, such as deleting and adding documents. The experimental results show that the overhead in computation and communication is low.