Miracle-dz/UniFAR-FTUs huggingface dataset:
A SURVEY ON PRIVACY PRESERVING TECHNIQUES FOR SOCIAL NETWORK DATA

In this era of 20 th century, online social network like Facebook, twitter, etc. plays a very important role in everyone’s life. Social network data, regarding any individual organization can be published online at any time, in which there is a risk of information leakage of anyone’s personal data. So preserving the privacy of individual organizations and companies are needed before data is published online. Therefore the research was carried out in this area for many years and it is still going on. There have been various existing techniques that provide the solutions for preserving privacy to tabular data called as relational data and also social network data represented in graphs. Different techniques exists for tabular data but you can’t apply directly to the structured complex graph data,which consists of vertices represented as individuals and edges representing some kind of connection or relationship between the nodes. Various techniques like K-anonymity, L-diversity, and T-closeness exist to provide privacy to nodes and techniques like edge perturbation, edge randomization are there to provide privacy to edges in social graphs. Development of new techniques by Integration to exiting techniques like K-anonymity ,edge perturbation, edge randomization, L-Diversity are still going on to provide more privacy to relational data and social network data are ongoingin the best possible manner.
Quantifying the User Experience, Second Edition: Practical Statistics for User Research

Quantifying the User Experience: Practical Statistics for User Research, Second Edition, provides practitioners and researchers with the information they need to confidently quantify, qualify, and justify their data. The book presents a practical guide on how to use statistics to solve common quantitative problems that arise in user research. It addresses questions users face every day, including, Is the current product more usable than our competition? Can we be sure at least 70% of users can complete the task on their first attempt? How long will it take users to purchase products on the website? This book provides a foundation for statistical theories and the best practices needed to apply them. The authors draw on decades of statistical literature from human factors, industrial engineering, and psychology, as well as their own published research, providing both concrete solutions (Excel formulas and links to their own web-calculators), along with an engaging discussion on the statistical reasons why tests work and how to effectively communicate results. Throughout this new edition, users will find updates on standardized usability questionnaires, a new chapter on general linear modeling (correlation, regression, and analysis of variance), with updated examples and case studies throughout. Completely updated to provide practical guidance on solving usability testing problems with statistics for any project, including those using Six Sigma practices Includes new and revised information on standardized usability questionnaires Includes a completely new chapter introducing correlation, regression, and analysis of variance Shows practitioners which test to use, why they work, and best practices for application, along with easy-to-use Excel formulas and web-calculators for analyzing data Recommends ways for researchers and practitioners to communicate results to stakeholders in plain English
GENDER DIFFERENCES IN MOBILE PHONE USAGE FOR LANGUAGE LEARNING, ATTITUDE, AND PERFORMANCE

Mobile phone technology that has a huge impact on students’ lives in the digital age may offer a new type of learning. The use of effective tool to support learning can be affected by the factor of gender. The current research compared how male and female students perceived mobile phones as a language learning tool, used mobile phones to learn English and developed their learning performance. A five-point rating scale questionnaire was used to collect data from 122 students, comprising 65 females and 57 males. They were enrolled in a fundamental English course where mobile phone usage was integrated in certain language learning tasks with an aim to facilitate learning. The findings demonstrated that male and female students did not differ in their usage, attitudes toward mobile phone uses for language learning as well as their learning performance at a significance level. In addition, the constraints of using mobile phone for learning that students identified in an open-ended question included the small screen and keyboard the most, followed by intrusiveness of SMS background knowledge, and limited memory of mobile phone. The implication for classroom practice was proposed in how mobile phone can be fully incorporated into the instructional process in order to enhance learner engagement. The results of this study are important for teachers when implementing the mobile phone technology in language teaching. They can be used as a guideline of how mobile phone can be fully incorporated into the instructional process in order to enhance learner engagement.
Videoconferencing and community of practice interaction. Semantic, pragmatic and intercultural aspects of students' communication in English language classes.

This paper explores samples of community of practice communication in multicultural videoconferencing (VC) classes between English for Academic Purposes (EAP) and English for Specific Purposes (ESP) students at Masaryk University and their conterparts at Aberystwyth University. It comments on a number of pragmatic and semantic issues that have arisen during the videoconferences in addition to situations baused by a lack of intercultural awareness. Examples of students' performances show hoe face-threatening acts are percieved to have been produced by non-native speakers of English. Differences in the reactions of native and non-native speakers of English are then exemplified. The paper further examines the difficulties in distinguishing the levels of formality, directness and politeness and the misunderstandings which arise from the use of certain loaded expressions or metphors without knowledge of cultural differences and sensitivities. To conclude, the authors suggest the importance of teaching pragmatics and raising intercultural sensitivity in international professional communication, where English is used as lingua franca.
Writing in the Middle Years: 'The More Control We Have of Words, the More Power We Have in Society as a Whole'

This article describes an investigation into how teachers in upper primary work with students who are not achieving in writing, so that these students might have a greater chance of success when they reach secondary school. This small pilot study enquires into how teachers in middle and upper primary assess, plan and teach writing. It examines their understandings about how teachers might work with students to improve writing and what they see as the major challenges for teachers. It makes some recommendations based on these teachers work in relation to the importance of key transition periods in primary writing development and suggests some knowledge, principles and key skills that may assist teachers as they work with these children.
Adapted Bat Algorithm for Capacitated Vehicle Routing Problem

The Capacitated Vehicle Routing Problem (CVRP) is an NP-hard problem and one of the most challenging combinatorial optimization task. This paper presents a new Swarm Algorithm based on bats behavior to solve CVRP. We called it, Adapted Bat Algorithm (ABA). Previous works show that Bat Algorithm (BA) has not yet been applied efficiently to solve CVRP, even though it was successfully used to solve other problems. The approach of ABA allows a large diversity of the population and a balance between global and local search. The simulation of nine benchmark instances shows that our proposed algorithm is effective and feasible. Compared to Genetic Algorithm (GA), ABA can get high precision and exceed some best known values.
Transparent Access on Encrypted Data Distributed over Multiple Cloud Infrastructures

—Using cloud infrastructures to store and backup data is becoming a popular alternative that guarantees performance and scalability at reasonable prices. However, standard cloud solutions could raise some concerns about data conﬁden-tiality and dependency on a single provider. We aim to address these issues by using cloud storage of multiple cloud providers. Our solution ciphers, partitions and replicates data among multiple cloud architectures, thus augmenting availability and conﬁdentiality, and avoiding lock-in of one cloud provider. The proposed model is implemented through open source software that leverages data storage offered by multiple providers. This prototype demonstrates the effectiveness of the geographically distributed architecture in several real case scenarios.
Robot-Object Interaction Language

As the world anticipates receiving helper robots into their homes there are still a few more hurdles that the robotics field must leap over in order for us to reach such a goal. The main issues that the discipline faces are the snowflake robot designs (no two are alike) and the large learning curve for robot programming. These issues create a difficulty and an inconsistency in design and usability. To resolve these issues, a language structure has been designed to communicate with the programming language of any robot enabling the robot to manipulate any object. Thus, the hypothesis submitted in this proposal states that any robot is capable of interacting with any real world object to the robots optimality and within its limitations.
The Resurrecting Duckling: security issues for ubiquitous computing

Imagine the future: hundreds of embedded computers per person, all cooperating via ad hoc wireless networks. What will the security implications be? Peer-to-peer and ubiquitous computing systems involve many principals, but their network connectivity is intermittent and not guaranteed. Traditional approaches to authentication, from Kerberos to public-key certificates, are therefore unworkable, because they rely on online connectivity to an authentication or revocation server. The paper considers new solutions. It discusses the Resurrecting Duckling security policy model. The traditional taxonomy of security threats identifies three main classes which are considered: confidentiality, integrity or availability.
ADVANCED TEXT CLASSIFIER BASED ON THE CONCEPT OF PIPELINING AND CC CLUSTERING

Image processing is a way to alter an image into digital structure and carry out a few operations on it, in order to obtain an improved image or to take out a little valuable information from it. In this paper, testing has been made to pull out text from remote sensing images. The task is to separate text from the non-text area of an image. The separated text is converted into speech. And the way of segregation of text and translating into speech is supportive in lots of ways, such as guiding visually impaired persons; help to navigate tourists, etc., the citation of text area from a remote sensing image is done by maximally stable extremal region algorithm and the Ada boost classifier. The overall process of text extraction has to be done and achieved through the major concept called pipelining. Varied algorithms have been used in implementing this technique. Traditionally Region-based algorithm was used and it had lots of hindrance mainly the decisions were made locally. Hence connected component has been introduced which reduces the disadvantages of Regional-based algorithm to a certain extent. The main purpose of the experiment is to overcome the disadvantages like photometric degradation, geometric distraction. The result is to extract text area with accuracy and speed and also to overcome the disadvantages of previous techniques.
Low complexity hand gesture recognition

Gesture recognition is an expressive, alternative means for Human Computer Interaction(HCI), which recently drew signifcant attention after the release of mass consumer applicationsand devices, including gesture{controlled interactive TV systems (iDTV) andadvanced video{game environments. In this work, we propose a complete gesture recognitionframework for continuous streams of static postures and dynamic trajectories ofdigits and letters, targeting both high recognition accuracy and increased computationaleficiency. Special emphasis is given on four fundamental gesture recognition problems,i.e. hand detection and feature extraction, isolated recognition, gesture verification, andgesture spotting on continuous data streams.Specifically, we propose a novel finger detection method, based on geometrical handcontour features (apex detection) and show its importance in hand posture recognition.We then present our approach for isolated recognition, which is based on MaximumCosine Similarity (MCS) and a tree{based fast Nearest Neighbor (fastNN) technique,showing its high recognition accuracy and computational eficiency. Additionally, werelate the computational time required by fastNN for the classification of an unknownquery vector to its Mahalanobis distance and maximum cosine similarity with respectto the set of training examples. This property allows us to perform gesture verification,while it significantly reduces the search time.Finally, we design a complete framework for gesture spotting on continuous streams ofhand data, solving the joint problem of both gesture detection and recognition. Specifi-cally, we model subgesture relationships in a probabilistic way, using both the categoriesand the relative time positions of overlapping gesture candidates. Additionally, we introducea novel metric of ranking conicting gesture candidates, based on their timeduration and cosine similarity score, which oers high conict resolution results forsequences of digits and letters.In all cases, we support our arguments through thorough experiments on real and syntheticgesture datasets, as well as with real{time gesture spotting applications.
Access time control for TCP fairness in WLANs

Wireless local area networks (WLANs) based on IEEE 802.11 standard have been widely used in infrastructure and ad hoc networks. Although the MAC layer of 802.11 WLAN provides fairness in accessing the wireless channel, the channel capacity is allocated unfairly among stations and flows due to effect of the upper layer protocols such as TCP and asymmetric network conditions. In this dissertation, this unfairness problem of TCP traffic in the IEEE 802.11 based infrastructure and ad hoc networks is studied. In the first part of the dissertation, the per-station fairness in infrastructure WLANs is studied. Under the 802.11 distributed coordination function (DCF), there exists unfairness between uplink and downlink TCP flows in infrastructure WLANs. In addition, when each station has a different number of flows, the channel capacity is allocated unfairly among stations. In order to resolve these problems, the Access Time Control (ATC) scheme and the Distributed Access Time Control (DATC) scheme are proposed. In the ATC scheme, an access point (AP) controls the rate of TCP flows based on the channel access time of each station so that it can provide per-station fairness regardless of the number and direction of flows in each station without sacrificing throughput. On the other hand, in the DATC scheme, each station controls the rate of its TCP flows based on the channel access time without coordination of the AP. By applying these schemes, per-station fairness among stations can be achieved, and the QoS of traffic with high priority can be protected from the best-effort traffic in the 802.11e networks. Also, the network throughput decreases little even when there exist stations with low transmission rate. Since the proposed schemes do not require any modification of the MAC and TCP layers, they can be easily implemented in current devices. The properties of the proposed schemes are investigated and their effectiveness is verified through ns2 simulations. In the second part of the dissertation, the fairness in ad hoc networks is studied. In ad hoc networks, each station may forward some flows for other stations as well as sends its own flows. Therefore, the number of flows to deliver may be different among stations. However, since the 802.11 DCF provides an equal chance for sender stations to access the channel regardless of their number of flows, it can induce unfairness among flows. In addition, the hidden node problem degrades throughput and fairness of TCP flows in multihop ad hoc networks. In order to resolve these problems, the ATC scheme for ad hoc networks is proposed. In the proposed scheme, by fairly allocating the channel access time of a flow to each link and by accounting the interference level from hidden nodes, fairness and throughput are enhanced. Through ns2 simulations for various topologies, the effectiveness of the proposed scheme is shown.
Device for implementing dynamic time-slot TDMA distribution

The invention relates to a realization device of time slot allocation TDMA, in particular to a realization device of the dynamic time slot allocation TDMA, aiming at solving the problem of low efficiency of the existing coding system. A dynamic time slot scheduling method is adopted in a TDMA communication system. The way of sending from primary ends to secondary ends is that the primary ends dispatch and broadcast the data to each secondary end according to the priority level and the length of data required by the secondary end equipment. The time slot scheduling of upstream data is that: the time of uploading time slot of the frame of the secondary ends is arranged by the primary ends in a unified way according to the priority level uploaded on the previous frame of the secondary ends and the length of the data to be uploaded. The secondary ends arrange proper data to be uploaded according to the size of time slot that the primary ends send to the secondary ends. The device of the invention can be widely applied to an EoC system, a wireless communication system and an optical fiber analog communication system.
How do Prospective Teachers Solve Routine and Non-Routine Trigonometry Problems?

The aim of this study is to identify prospective teachers' skills in transferring their trigonometry knowledge to solve problems they encounter. Test on Solving Routine Problems (TSRP) and Test on Solving Non-routine Problems (TSNRP), were used as data collection tools. As a result of the data analysis the prospective teachers correctly answered nearly all questions in the TSRP that required procedural knowledge, whereas they experienced problems in TSNRP that required their skills of transferring their trigonometry knowledge. In view of these results, it was observed that the prospective teachers were able to answer procedural questions with their trigonometry knowledge. © 2015 IOJES. All rights reserved
N-CRYPT: A HIGHLY SECURED DATA TRANSMISSION FOR WIRELESS SENSOR NETWORK

Mulling over of any system the defenselessness of malevolent movement influences the information straight forwardly or by implication. The principle destination of this paper is to transmit the information in a multi bounce WSN in a secured way. On the off chance that a modest segment of information could be recuperate by a malevolent node then a malignant node can ruin the whole information throughout the information transmission. To conquer this issue and enhancing the information level security in this paper N-Crypt methodology is presented for giving high security to information while information transmission. N-Crypt is a cyclic procedure of Encryption, Decryption on the information from Source Node to Destination Node in the WSN. N-Crypt is having two modules N-Crypt-I for Encryption at every node and N-Crypt-II for Decryption at Destination node where it can maintain a strategic distance from clashes on the procedure of Encryption and Decryption. The Simulation result indicates that the execution of N-Crypt is superior to the current methodologies.
Intelligente Methoden im Integrierten Risikomanagement

In dieser Arbeit wird ein multikriterielles Modell zur Integration des Risikomanagements auf Basis von Kredit-, Markt- und operationellem Risiko konzipiert. Der Ansatz approximiert die Losungen des Problems mittels multikriterieller evolutionarer Algorithmen. Seine Anwendung wird fur eine Beispielbank aufgezeigt mit besonderem Fokus auf die ansprechende Visualisierung der Ergebnisse.
Instant Simulator : A tool for generating simulators from machine-readable descriptions

This thesis presents Instant Simulator, a tool for simulating digital signal processors (DSPs) to allow cycle-accurate benchmarking of programs. The purpose of the tool is to assist the Unison compiler when comparing generated machine code between Unison and industrial strength compilersInstant Simulator is designed to reuse parts of Unison and strike a balance between performance and ease of use. DSPs are described in machine-readable specifications and compiled into simulators, partly with the help of tools developed for Unison.A case study is conducted to evaluate Instant Simulator, where the C67x DSP from Texas Instruments is simulated during execution of small test programs. The case study ensures the correctness and completeness of the tool and the simulations executes at a clock rate between 2.6 MHz and 9.7 MHz on a modern mid-tier laptop, depending on the level of detail in simulation.
Teachers' Beliefs and Understandings of Their Roles in Micro Course Planning and Syllabus Design

Developing syllabus in language education program is critical, however, little is known on the actual roles that teachers play in it. Therefore, this study was intended to explore the EFL teachers’ beliefs and understandings regarding their roles in micro course planning and syllabus design and how these aspects were realized in their context of teaching. This study employed qualitative approach with a descriptive study design. The respondents involved were three EFL teachers from a private English course. The data were collected by using interviews and documentations. Nunan’s (2000) theory on the role of teachers in syllabus planning was used as the basis theory to analyse the data gathered. The result showed that the respondents mainly belief that their role in micro syllabus planning rely on two categories, these were as an implementer and as a decision maker. It was found that teachers tended to only have a greater freedom in deciding the revision, sequencing and grading of the course content while the other two stages which were stipulating goal and language level were determined by the institution.
Construction of linguistic resources for the extraction of "complex text segments"

The development of computational linguistic resources (electronic dictionaries and grammars) for the automatic extraction, identification, and further fine-grained annotation of "complex text segments" , is the core of our work. We use and extend the notion of multi-word units (MWUs) by allowing a large description of linguistic objects: compound nouns, entity names, verbal forms (compound tense and negate forms, introduction of clauses between the auxiliary and the past participle, etc.) and frozen expressions (i.e. idioms). The identification of complex sequences of text segments is done by using dictionary graphs which combines the power and versatility of the local grammars and the expressivity of the electronic dictionaries.