Miracle-dz/UniFAR-FTUs huggingface dataset:
Localization of Distributed Wireless Sensor Networks using Two Sage SDP Optimization

A wireless sensor network (WSN) may comprise a large distributed set of low cost, low power sensing nodes. In many applications, the location of sensors is a necessity to evaluate the sensed data and it is not energy and cost efficient to equip all sensors with global positioning systems such as GPS. In this paper, we focus on the localization of sensors in a WSN by solving an optimization problem. In WSN localization, some sensors (called anchors) are aware of their location. Then, the distance measurements between sensors and anchors locations are used to localize the whole sensors in the network. WSN localization is a non-convex optimization problem, however, relaxation techniques such as semi-definite programming (SDP) are used to relax the optimization. To solve the optimization problem, all constraints should be considered simultaneously and the solution complexity order is O(n2) where n is the number of sensors. The complexity of SDP prevents solving large size problems. Therefore, it would be beneficial to reduce the problem size in large and distributed WSNs. In this paper, we propose a two stage optimization to reduce the solution time, while provide better accuracy compared with original SDP method. We first select some sensors that have the maximum connection with anchors and perform the SDP localization. Then, we select some of these sensors as virtual anchors. By adding the virtual anchors, we add more reference points and decrease the number of constraints. We propose an algorithm to select and add virtual anchors so that the total solution complexity and time decrease considerably, while improving the localization accuracy.
TÜRKÇENİN İKİNCİ DİL OLARAK ÖĞRETİMİNDE ÖĞRENCİLERİN KULLANDIKLARI KELİME ÖĞRENME STRATEJİLERİ

Turkcenin ikinci dil olarak ogretiminin yapildigi kurslarda ogrencilerin karsilastiklari en buyuk gucluklerden biri kelime ogrenimidir. Kelime ogrenme stratejisi gelistirip kelime hazinelerini arttiran ogrenciler oldugu gibi bagimsiz olarak kelime ogrenme stratejisi gelistiremeyen ve basarisiz olan ogrenciler de vardir. Dil ogrenme stratejilerinin bir parcasi olan kelime ogrenme stratejileri bu acidan calismanin temelini olusturmaktadir. Bu calismada, Canakkale Onsekiz Mart Universitesi Turkce Ogretim ve Uygulama Merkezi’nde (TOMER) B2 dil seviyesi ogrencilerinin Turkce ogrenirken kullandiklari kelime ogrenme stratejilerini belirlemek amaclanmistir. Ayrica ikinci dil olarak Turkce ogrenen cok dilli ogrencilerin Turkcenin ogretiminde kullandiklari kelime ogrenme stratejileri ile onceki dil ogrenimlerinde kullandiklari kelime ogrenme stratejileri benzerlikler ve farkliliklar acisindan incelenip karsilastirilmistir. Calismada nitel arastirma yontemlerinden olan durum calismasi modeli kullanilmistir. Ogrencilerin kisisel bilgilerini ogrendigimiz kisisel bilgi formu ve gorusme kayitlari olmak uzere iki farkli veri toplama aracindan gelen veriler betimsel olarak analiz edilmistir. B2 dil seviyesindeki 51 ogrenciyle yapilan yari yapilandirilmis gorusmelerde, Turkceyi ikinci dil olarak ogrenen yabanci uyruklu ogrencilerin kullandiklari kelime ogrenme stratejileri tespit edilmistir
Term selection in information retrieval

Systems trained on linguistically annotated data achieve strong performance for many language processing tasks. This encourages the idea that annotations can improve any language processing task if applied in the right way. However, despite widespread acceptance and availability of highly accurate parsing software, it is not clear that ad hoc information retrieval (IR) techniques using annotated documents and requests consistently improve search performance compared to techniques that use no linguistic knowledge. In many cases, retrieval gains made using language processing components, such as part-of-speech tagging and head-dependent relations, are offset by significant negative effects. This results in a minimal positive, or even negative, overall impact for linguistically motivated approaches compared to approaches that do not use any syntactic or domain knowledge. In some cases, it may be that syntax does not reveal anything of practical importance about document relevance. Yet without a convincing explanation for why linguistic annotations fail in IR, the intuitive appeal of search systems that ‘understand’ text can result in the repeated application, and mis-application, of language processing to enhance search performance. This dissertation investigates whether linguistics can improve the selection of query terms by better modelling the alignment process between natural language requests and search queries. It is the most comprehensive work on the utility of linguistic methods in IR to date. Term selection in this work focuses on identification of informative query terms of 1-3 words that both represent the semantics of a request and discriminate between relevant and non-relevant documents. Approaches to word association are discussed with respect to linguistic principles, and evaluated with respect to semantic characterization and discriminative ability. Analysis is organised around three theories of language that emphasize different structures for the identification of terms: phrase structure theory, dependency theory and lexicalism. The structures identified by these theories play distinctive roles in the organisation of language. Evidence is presented regarding the value of different methods of word association based on these structures, and the effect of method and term combinations. Two highly effective, novel methods for the selection of terms from verbose queries are also proposed and evaluated. The first method focuses on the semantic phenomenon of ellipsis with a discriminative filter that leverages diverse text features. The second method exploits a term ranking algorithm, PhRank, that uses no linguistic information and relies on a network model of query context. The latter focuses queries so that 1-5
No Effect of Writing Advice on Reading Comprehension

This article considers text comprehension through the integrated perspectives of language processing research and practical writing advice as expressed in writing guides and language policies. Such guides for instance include advice to use active constructions instead of passives and sentences instead of nominalizations. These recommended and problem constructions and two other contrasts were investigated in an eye-tracking experiment where 27 students read four authentic texts where the target constructions had been manipulated. A mixed-effects regression analysis showed no difference between recommended and problem constructions, while several control variables were significant. This result indicates that the linguistic manipulations are not in themselves crucial to text comprehension, and it is hypothesized that the central aspect for text comprehension is how the linguistic manipulations support cohesion and coherence in the text.
Library employment: Satisfaction, opportunities, challenges, and future actions as perceived by academic librarians

Purpose The purpose of this paper is to investigate the library employment in UAE and explore the perceptions of academic librarians toward job satisfaction, employment opportunities, employment challenges, and future actions needed to improve employment opportunities for librarians in UAE. Design/methodology/approach Data were collected through an online survey questionnaire. A total of 62 academic librarians from public and private universities and colleges participated in the study. The collected data are analyzed to answer research questions and verify the hypotheses. Findings Respondents expressed high satisfaction with salary and benefits, job positions, responsibilities given to them, and appreciations from senior management. However, they are found unsatisfied with promotion policies and employment opportunity. They reported challenges for getting jobs and expressed concerns about the future of librarians in UAE. With the exception of experience, findings of the study show no significant difference of demographic factors on job satisfaction, the perceived employment opportunity, and challenges. Majority of participants believe that employment opportunity for librarians can be improved through IT courses, promotion policies, training, career structure, marketing, and changing school name. They agree that reducing the number of students will not improve employment opportunities for librarians. Research limitations/implications This is a descriptive study based on a survey questionnaire. Future studies may use qualitative methods such as the interview for more exploration and in-depth analysis. Practical implications The findings provide concerns about the future of librarianship in UAE and appeal to library educators, managers, and decision makers to improve employment opportunities for librarians. Originality/value The paper reports original research findings on job satisfaction, employment opportunities, employment challenges, and future actions as perceived by academic librarians in UAE.
Multiple Code Inheritance in Java

Java has multiple inheritance of interfaces, but only single inheritance of code. This situation leads to code being duplicated in Java library classes and applications. We describe a generalization of a Java Virtual Machine (JVM) to support multiple inheritance of code. Our approach places code in interfaces, without requiring language syntax changes or compiler modifications. In our extended JVM, we use interfaces to represent either new types of interfaces with code or traditional interfaces in Java. We define and implement a super call mechanism resembling the one in C++, in which the programmer can specify an inheritance path to the desired superinterface implementation. We introduce a simple notation for super calls to interfaces. Furthermore, we develop scripts that allow a programmer to use multiple code inheritance with existing Java compilers. We have modified a JVM to support multiple code inheritance. Our implementation does not affect the running time or the semantics of standard single inheritance Java programs and executes correctly programs that use multiple
Multi-Carrier Radar for Target Detection and Communications

Ellinger, John. Ph.D., Electrical Engineering Ph.D. program, Wright State University, 2016. MultiCarrier Radar for Target Detection and Communications. This dissertation considers the optimization of radar performance within the structure imposed by a coded Orthogonal Frequency Division Multiplexing (OFDM) format required to achieve an acceptable communication link. The dual goal of achieving both satisfactory radar and communication performance raises challenges that can be substantively addressed by combining phase coding and modulation techniques to provide the temporal and spectral structure necessary to implement simultaneous radar and communication operations. In particular, the specific techniques, as introduced within this dissertation, of using the Multi-Frequency Complementary Phase Coded (MCPC) sequences, as prescribed by Levanon and Mozeson, for simultaneous radar and wireless communication operations represent a novel contribution and offers a significant improvement in the study, implementation, and performance of dual use radar and communication waveforms and signal processing techniques. Specific contributions of this dissertation include: 1) as will be demonstrated, not all valid MCPC sequences can be used for data transmission, and, therefore, a subset of MCPC sequences are chosen with consideration to radar detection performance, 2) communication operation is improved through the introduction of an algorithm that enables Gray codes to be applied to MCPC sequences, 3) the orthogonality of MCPC sequences is exploited to overcome the effects of multipath fading and intercarrier interference, 4) a new detector type, termed the Beta detector, is developed for both communications operations and radar detection, 5) a radar detection method, termed Polar Signal Detection, is developed that combines the Beta detector with a traditional matched filter detector to achieve superior detection performance as compared to traditional Cell-Averaging Constant False Alarm Rate (CA-CFAR) detectors in multi-target environments, and 6) a novel method of
Evolving a Genetic Algorithm for Network Flow Maximization

The problem of maximizing network flow has been approached over the decades with a variety of techniques; genetic algorithms, however, have seen relatively little application to this problem. We chose to pursue a simple genetic algorithm in which the rate of mutation decreases in successive generations, in a fashion inspired by simulated annealing. To assist the determination of optimal parameters, we constructed a meta-genetic algorithm to evolve an efficient genetic algorithm for this task.
Towards A Systemic Framework for Digital Forensic Readiness

Although digital forensics has traditionally been associated with law enforcement, the impact of new regulations, industry standards and cyber-attacks, combined with a heavy reliance on digital assets, has resulted in a more prominent role for digital forensics in organizations. Modern organizations, therefore, need to be forensically ready in order to maximize their potential to respond to forensic events and demonstrate compliance with laws and regulations. However, little research exists on the assessment of organizational digital forensic readiness. This paper describes a comprehensive approach to identifying the factors that contribute to digital forensic readiness and how these factors work together to achieve forensic readiness in an organization. We develop a conceptual framework for organizational forensic readiness and define future work towards the empirical validation and refinement of the framework.
Intelligent control of a morphing aircraft

A morphing aircraft is able to drastically alter its planform to optimize performance at very dissimilar flight conditions. Despite significant strides to develop wing structure and actuation systems, much work remains to effectively control both the morphing wing as well as the entire morphing aircraft. The control solution presented in this paper uses modelbased methods that provide precise, closed-loop control of the morphing planform (i.e. wing-shape control) and simultaneously enforce prescribed closed-loop aircraft dynamics (i.e. flight control). The specific planform that is the focus of this research is the N-MAS wing designed by NextGen Aeronautics. At the wing-shape control level, the authors sought to answer two questions: (1) What is the most efficient means of actuating the underlying structure of the N-MAS wing? and (2) Given a fixed set of actuators, how does one precisely manipulate a morphing structure given inherent physical limitations? At the flight-control level, the authors sought to develop a control methodology that can: (1) accommodate different planforms that result in drastically changing plant dynamics, and (2) make the transition between any two configurations while maintaining the stability of the morphing aircraft.
Challenges facing group work online

Abstract Online group work can be complicated because of its asynchronous characteristics and lack of physical presence, and its requirements for skills in handling technology, human relationships, and content-related tasks. This study focuses on the administrative, logistical and relationship-related challenges in online group work. Challenges in areas such as commitment/responsibility, communication/coordination, structure/management, and leadership are discussed; strategies for how to streamline the management of online group work, how to decrease unnecessary logistical load and extra layers of structure, and how to improve online group work through the design of the syllabus are presented. The study suggests that instructors split group work into individual portions, use peer evaluation, establish guidelines for communication, use tools such as Google Drive to streamline duplicate works, monitor the process of the group work, and give group members freedom, ownership, and autonomy in their group work.
An Ip Packet Forwarding Technique Based on A New Structure of Lookup Table

Abstract In computer networks nowadays, high-speed routers are compulsory to deliver the incoming packet to its destination. There are two parameters that exist in all lookup techniques that directly affect performance results: data structure size and number of lookup table accesses. With these remarks in mind, the specific goals of this paper are: (i) Design a data structure for storing an IP lookup table that enhances the lookup process, (ii) Produce an IP lookup algorithm that has a bounded worst-case number of accesses lower than contemporary techniques, and (iii) Improve updating and deletion operations that do not create a bottleneck to efficient forwarding. This paper investigates a suitable data structure of the routing table in order to minimize the total routing time. The investigated structure of the routing table is based on RapidBase technique. It contains all the information necessary to forward an IP data packet toward its destination. The properties of the created routing table facilitate searching for the best matching prefix quicker than when using the current routing table where packets do not have to be queued before lookup. Additionally, the proposed algorithm’s effectiveness is deliberated via simulation. A comparative study with recently published algorithms shows that our proposed scheme has a great impact on shortening the route lookup and update operations. For more enhancements, combinations of the proposed algorithm with the most popular algorithms are also studied.
Using Software With Visualization To Teach Heat Transfer Concepts

Over the past six years we have transformed our undergraduate heat transfer course from a strictly lecture format by adding a two-hour “studio” session held in a classroom equipped with a computer for each pair of students. Much of the studio work revolves around a set of locally developed, research-based numerical algorithms that solve in real time the ordinary and partial-differential equations describing heat and fluid flow. With the complete field solution available from the numerical routines, the software can provide a visually rich and highly interactive learning experience. This encourages the user to better investigate and understand the underlying physics. Additional studio exercises involving student-developed spreadsheets allow them to explore a wide range of input parameters as a practicing engineer would in any good design study. Anecdotal evidence suggests that practicing engineers support this approach since they are accustomed to using graphically-rich, commercial software and recognize that computers and software have taken over much of the mundane “number-crunching” that used to occupy many of an engineer’s working hours. Many undergraduate engineering students, especially the weaker ones, are oriented toward the routine solving of problems – particularly problems that are very similar to worked examples in the textbook and have a single “correct” answer (and exactly what computers can be trained to do better than they! ). At the graduate level those students who study computational fluid dynamics (CFD) quickly learn “the purpose of computing is insight, not numbers,” but inculcating that idea in undergraduates takes much effort. The software we have developed and use in this course encourages all students to take a second look, to run cases and to notice the effects of parameters. The course instructor must be willing to change his or her mode of operation, by developing and assigning more open-ended and design problems and especially by including “concept” questions along with conventional problem solving in assessing student performance.
The Impact of a One to One Laptop Program on the Self-Efficacy of Nine Middle School Students with Specific Learning Disabilities.

The Impact of a One to One Laptop Program on the Self-Efficacy of Nine Middle School Students with Specific Learning Disabilities Adam Steiner Dissertation Chair: Richard Jackson, Ed.D. A significant body of research has examined the impact of technology on pedagogy (Cuban, 1999; Enyedy, 2014), student achievement (Schachter, 1999; Cheung & Slavin, 2013, OECD, 2015), and equity (Reich, Murnane & Willett, 2012; Van Deursen & Van Dijk, 2011) with both positive and negative results within each domain. Research has also examined the impact of technology on the success of students with disabilities in various domains (Corn, Tagsold, & Argueta, 2012; Hargreaves & Braun, 2012; Harris & Smith, 2004; Penuel, 2006). However, no research has assessed the impact of one to one technology, in particular, on the self-efficacy of students with specific learning disabilities in educational settings. This dissertation examined the experience of nine middle school students with specific learning disabilities in the first year of a one to one laptop program. Among the guiding questions for this research was the following: What characteristics of 1:1 programs present particular challenges or opportunities for students with learning disabilities? A series of interviews with students, parents, and teachers, as well as pre and post-surveys gauging student self-efficacy, were organized within the frame of activity theory and analyzed using a case-study narrative approach. THE IMPACT OF A ONE TO ONE LAPTOP PROGRAM 4 Findings from the research suggest the presence of several critical conditions that support student self-efficacy in this one to one program. These critical conditions include the presence of a culture of collaboration, putting the needs of teachers first in terms of comfort with technology, providing a system of professional development for both students and teachers, encouraging the philosophy of a growth mindset in relation to technology, and adopting a Universal Design for Learning (UDL) framework as a model for curriculum design that emphasizes equity through flexibility. THE IMPACT OF A ONE TO ONE LAPTOP PROGRAM 5 ACKNOWLEDGEMENTS Thank you to my committee members whose support and guidance made this dissertation come to fruition. Thank you to Richard Jackson, dissertation chair and advisor, for his constant encouragement throughout my doctoral experience. To Andy Hargreaves, my deepest appreciation for his confidence and uplift, and acknowledgement that a traditional path is not the only path. To Michael Russell, thank you for your invaluable guidance in crafting a dissertation worthy of the subject. Thank you to my family, in particular my wife and daughters, for their patience and understanding, and for being a constant source of inspiration. THE IMPACT OF A ONE TO ONE LAPTOP PROGRAM 6
Vocabulary Instruction for Second Language Readers.

Over the past 20 years, research has consistently affirmed the importance of explicit vocabulary instruction for adult learners of English as a second language (ESL). Given the significant vocabulary demands faced by adult second language readers, ESL teachers must carefully target their instruction for maximum impact and to foster meaningful connections for learners. This practical resource guide for designing and implementing effective vocabulary instruction provides an overview of a three-tiered vocabulary framework, followed by specific recommendations for selecting and teaching vocabulary in the adult second language classroom. Examples of strategies for brief instruction and elaborate instruction are given.