Miracle-dz/UniFAR-FTUs huggingface dataset:
In-flight airflow measurements of a Cessna AgHusky agricultural aircraft

A measurement system based on pressure probe techniques was developed and used to survey airflow speed and direction near the trailing edge of the wings and under the fuselage of a Cessna AgHusky agricultural aircraft. The main feature of the system was an airflow measuring “rake” comprised of eight, 5-tube probes designed to measure total pressure and airflow direction and two stream pressure probes to measure static pressure. The probes were encased in a 0.74-m long airfoil that was positioned vertically at numerous lateral positions 0.23 m behind the trailing edge of the aircraft wing and horizontally at several locations beneath the aircraft fuselage. The test flight protocol included three aircraft loadings (0-, 227-, and 454-kg hopper loads) and two airspeeds (145 and 185 km/h) at an aircraft wheel height of 1.5 m. The measurements indicated that air velocity, airflow yaw angle, and airflow pitch angle were all significantly affected by variations in aircraft loading, aircraft speed, and measurement locations. The air velocity ranged up to 195 and 235 km/h in the propeller slipstream at indicated airspeeds of 145 and 185 km/h, respectively. Velocities of 64 to 97 km/h were recorded near the underside of the fuselage where the airflow was blocked by spray system hardware. Outboard from the propeller slipstream, the air velocities were lowest in the area directly behind the trailing edge of the wings and highest either 0.203 m above or 0.305 to 0.475 m below the trailing edges of the wings. Airflow yaw and pitch angles were largest for the 145 km/h indicated airspeed with the 454-kg load and in the area below the fuselage and aft of the spray system hardware. Outboard of the propeller slipstream, the yaw angles did not exceed 6°. The airflow pitch angles ranged up to 7° at the wing measurement locations with the largest downward angles occurring 0.102 to 0.203 m above the wings and the largest upward angles occurring directly behind the trailing edges of the wings. These results provide a basis for selecting and locating spray delivery equipment on agricultural aircraft in order to minimize the effects of airflow on the production of small droplets that are most subject to spray drift.
Spatio-temporal descriptors for human action recognition

Due to increasing demand for video analysis systems in recent years, human action de-tection/recognition is being targeted by the research community in order to make video description more accurate and faster, especially for big datasets. The ultimate purpose of human action recognition is to discern automatically what is happening in any given video. This thesis aims to achieve this purpose by contributing to both action detection and recognition tasks. We thus have developed new description methods for human action recognition.For the action detection component we introduce two novel approaches for human action detection. The ﬁrst proposition is a simple yet eﬀective method that aims at detecting human movements. First, video sequences are segmented into Frame Packets (FPs) and Group of Interest Points (GIP). In this method we track the movements of Interest Points in simple controlled video datasets and then in videos of gradually increasing complexity. The controlled datasets generally contain videos with a static background and simple ac-tions performed by one actor. The more complex realistic datasets are collected from social networks.The second approach for action detection attempts to address the problem of human ac-tion recognition in realistic videos captured by moving cameras. This approach works by segmenting human motion, thus investigating the optimal suﬃcient frame number to per-form action recognition. Using this approach, we detect object edges using the canny edge detector. Next, we apply all the steps of the motion segmentation process to each frame. Densely distributed interest points are detected and extracted based on dense SURF points with a temporal step of N frames. Then, optical ﬂows of the detected key points between two frames are computed by the iterative Lucas and Kanade optical ﬂow technique, using pyramids. Since we are dealing with scenes captured by moving cameras, the motion of objects necessarily involves the background and/or the camera motion. Hence, we propose to compensate for the camera motion. To do so, we must ﬁrst assume that camera motion exists if most points move in the same direction. Then, we cluster optical ﬂow vectors using a KNN clustering algorithm in order to determine if the camera motion exists. If it does, we compensate for it by applying the aﬃne transformation to each frame in which camera motion is detected, using as input parameters the camera ﬂow magnitude and deviation. Finally, after camera motion compensation, moving objects are segmented using temporal diﬀerencing and a bounding box is drawn around each detected moving object. The action recognition framework is applied to moving persons in the bounding box. Our goal is to reduce the amount of data involved in motion analysis while preserving the most important structural features. We believe that we have performed action detection in the spatial and temporal domain in order to obtain better action detection and recognition while at the same time considerably reducing the processing time.
Penerapan Fuzzy Inference System (FIS) Metode Mamdani dalam Pemilihan Jurusan Perguruan Tinggi

Pemilihan jurusan yang tepat saat memasuki jenjang perguruan tinggi sangatlah penting bagi calon mahasiswa baru. Pemilihan jurusan harus disesuaikan dengan ketertarikan ataupun minat seseorang pada bidang tertentu sesuai dengan minat bakat yang dimilki. Pada penelitian ini dibangun system dengan menerapkan fuzzy inference system dengan metode Mamdani untuk memilih jurusan di STMIK Pelita Nusantara Medan dengan variabel input, Tes Potensi Akademik(TPA), Tes Minat Bakat (TMB), dan Nilai UN (NUN) serta variabel output yaitu Teknik Informatika. Dari hasil pengujian menggunakan MATLAB dengan 27 komposisi aturan dengan inputan TPA sebesar 62, TMB sebesar 72, dan NUN sebesar 55 maka dihasilkan nilai rekomendasi berdasarkan metode fuzzy mamdani sebesar 71,3.
IMPLEMENTASI MODEL PROBLEM BASED LEARNING BERBANTUAN TES SUPERITEM TERHADAP KEMAMPUAN PEMECAHAN MASALAH MATERI KELARUTAN DAN HASIL KALI KELARUTAN

Abstract. A research on the implementation of problem based learning model aided superitem test of the ability of problem solving solubility and solubility product in SMA Negeri 1 Martapura. The research was quasi experimental design with nonequivalent control group. The study population were students of class XI IPA SMAN 1 Martapura with a sample of 36 students of class XI student of Mathematics 1 and 35 2 XI MIPA obtained by purposive sampling technique. Data were collected with engineering test and non-test and analyzed using t-test and descriptive analysis. The results showed that (1) There are differences in problem solving ability of students to the application of problem based learning model superitem aided test and application of problem based learning model, (2) Activity student on the application of problem based learning model aided superitem tests more active than the student activity on the application Problem Based Learning models and, (3) students give positive response to the application of problem based learning model aided superitem test. Keywords: superitem test, problem based learning, problem solving.
A foot-based typology of tonal reassociation: Perspectives from synchrony and learnability

This dissertation is about the synchronic analysis, typology, and formal learnability of tonal reassociation. Tonal reassociation refers to a group of phonological phenomena where a lexical tone surfaces in positions that the tone did not occupy underlyingly, without an apparent phonological trigger for doing so. Linguistic theory must answer why and how the grammar determines surface targets for reassociation. In addition, it must account for the crosslinguistic variation of such patterns. To address this, the dissertation develops an analytical framework based on the interaction between tone and foot structure. Feet function as licensors for tone, driving and restraining tonal reassociation. Since many reassociation patterns involve ternary domains, the framework extends traditional binary feet theory by allowing layered, ternary feet. Grammar computation is modeled in Harmonic Serialism, which solves an opacity problem found for Optimality Theory. The first half of the book motivates the framework through case studies of ternary spread-and-shift in Saghala, and quantity-sensitive ternary tone spread in Copperbelt Bemba. The framework accounts for both cases, and it is argued that layered feet are crucial to this success. A third study investigates the typology predicted by the foot-based approach. The approach accounts for much or all of the considered variation, but also shows overgeneration. The fourth study accounts for the overgeneration by considering the learnability of foot-based analyses for reassociation patterns in Optimality Theory. Attested patterns are learnable, and more easily so than unattested ones, under the condition that learners consider production and comprehension errors in tandem.
A new weighted fuzzy grammar on object oriented database queries

Article history: Received October 1, 2011 Received in Revised form November, 14, 2011 Accepted 25 February 2012 Available online 8 March 2012 The fuzzy object oriented database model is often used to handle the existing imprecise and complicated objects for many real-world applications. The main focus of this paper is on fuzzy queries and tries to analyze a complicated and complex query to get more meaningful and closer responses. The method permits the user to provide the possibility of allocating the weight to various parts of the query, which makes it easier to follow better goals and return the target objects. © 2012 Growing Science Ltd. All rights reserved.
UD Treebank Sampling for Comparative Parser Evaluation

In this abstract, we attempt to address the problem that although the Universal Dependencies project makes it possible to evaluate parsers on a large variety of languages and domains, it is difficult to do that efficiently for two reasons. First, UD is growing rapidly and second, the new state-of-the-art parsing methods that make use of neural networks are expensive to optimize. We propose to incrementally evaluate parsers on small to large selections of the treebanks. We take a first step in testing this method by attempting a comparison of transition-based parsers with and without neural network enhancement and make first tentative observations on the results.
Understanding the human subcortex using ultra-high field MRI and computational cognitive models

In this thesis, novel approaches for understanding the human subcortex using Ultra-High field MRI (UHF-MRI) were explored. The approaches were also applied to empirically validate the tripartite model of the subthalamic nucleus (STN). In Chapter 2, current state-of-the-art UHF-MRI methods and their relevance for the study of the human subcortex were reviewed. In Chapter 3, the iron distribution of the STN was visualized with quantitative susceptibility mapping (QSM) in both living subjects, as well as post-mortem tissue. We showed that the spatial distribution of iron is heterogeneous throughout the STN, but that there are no hard borders or clear subdivisions in the spatial distribution of iron across the STN. In Chapter 4 we investigated post-mortem STN samples using multiple MRI sequences, as well as immunocytochemical stainings. The histochemical structure of the STN is complex, gradual, and shows no clear tripartite subdivision. In Chapter 5 we critically reviewed the methods used in the empirical neuroimaging literature on the STN. Conventional methods turn out to be inadequate for distinguishing between signals from adjacent nuclei. We promote a ROI-approach and cautioned against spatial smoothing. In Chapter 6, a set of 7 T fMRI protocols was compared, to assess which spatial resolution is feasible for functionally imaging iron-rich subcortical nuclei at UHF. We show that also at 7 T, some modesty in terms of resolution is necessary for functional imaging of subcortex and that 3 T fMRI shows inferior BOLD sensitivity. In Chapter 7 we reviewed different approaches for linking cognitive computational models to neural measurements. Such approaches might aid in the interpretation of BOLD measurements in subcortex. Finally, in Chapter 8, we tested the tripartite model of the STN with an empirical study on how BOLD activity in different parts of the STN is related to different aspects of perceptual decision-making. The STN is involved in implementing response biases, there was no evidence for functional differentiation across different parts of the STN.
Case study: a comparison of immediate and delayed feedback, in the context of online testing with fourth class students

Case Study: A Comparison of Immediate and Delayed Feedback, in the Context of Online Testing with Fourth Class Students David Hickey New technologies are creating opportunities for online assessment not previously available to K-12 level teachers. However, most research into this particular aspect of education has focused on university level assessment. This case study placed online assessment into the context of an Irish fourth class primary classroom. To achieve this, focus was put on a comparison between immediate and delayed feedback for online tests. This particular comparison was selected in an attempt to better understand how and when feedback should be provided for frequent online assessments. A review of the literature and practical research was carried out. The literature review looked at frequent testing as a formative assessment method. Specifically it focused on multiple choice format vocabulary tests conducted online. A key element of this focus was the timing of feedback for these tests. Two timing methods were looked at; immediate, answer until correct feedback and delayed feedback. The literature review findings helped inform the research methodology. The research aspect of this study used online multiple choice vocabulary questions as the platform on which to compare the different timing methods. Online surveys of teachers, parents and students were also carried out and finally interviews with key staff members were conducted The literature review revealed that the optimal timing for feedback is an unresolved issue. This case study found that although there was a trend toward twenty four hour delayed feedback the difference with immediate, answer until correct feedback was not significant. Preparation for summative assessments emerged as an important advantage of frequent online tests for teachers, parents and students. Significant disadvantages to emerge related to technical, internet and resources issues. A positive attitude toward online testing in principle emerged from the surveys, although it was stronger with students and parents that with teachers. As a further study, it would be interesting to replicate these tests for students of different classes and over a longer time span to help further understand the emerging issues and findings of this case study.
Managers/Owners' Innovativeness and Electronic Commerce Acceptance in Chilean SMEs: A Multi-Group Analysis Based on a Structural Equation Model

The aim of this paper is to study differences in the adoption of e-commerce associated with the level of managers/owners’ innovativeness. The background utilized to estimate the respondents’ favorable reception of e-commerce is a model based on the Theory of Planned Behavior, which has been extended to include perceived drivers and obstacles as antecedents of attitude toward e-commerce acceptance. Small and medium enterprises in Chile participated in the study. A Partial Least Squares multi-group test was employed to note differences between groups. The main conclusions of the study are: (1) the level of managers/owners’ innovativeness differentiates between adopters and non-adopters of e-commerce of small and medium enterprises in Chile; (2) the Theory of Planned Behavior has been successfully used to explain the process of adoption of e-commerce among Chilean managers/owners; (3) there are significant relationships between both drivers and obstacles and attitude toward using e-commerce; (4) a strong and significant relationship exists between attitude and intention to use e-commerce. Results can be used by small and medium enterprises in developing countries to boost e-commerce adoption.
Proceedings of the 2nd Workshop on Natural Language Processing Techniques for Educational Applications

This paper introduces the NLP-TEA 2015 shared task for Chinese grammatical error diagnosis. We describe the task, data preparation, performance metrics, and evaluation results. The hope is that such an evaluation campaign may produce more advanced Chinese grammatical error diagnosis techniques. All data sets with gold standards and evaluation tools are publicly available for research purposes.
A Study of Application-awareness in Software-defined Data Center Networks

x CHAPTER 1: INTRODUCTION AND MOTIVATION . 1 1.1 Development of Data Center Network and Motivation . 1 1.2 Summary of Contribution . 5 1.3 Outline of Dissertation . 7 CHAPTER 2: BACKGROUND . 8 2.1 Data Center Network . 8 2.2 Software-defined Networking . 14 2.3 Application-aware Network . 19 CHAPTER 3: APPLICATION-AWARENESS IN DATA CENTER NETWORK USING OPENFLOW . 22 3.1 BIC-LSU Project: Introduction . 24 3.2 BIC-LSU: Framework Design . 27 3.3 BIC-LSU: Evaluation . 44 3.4 BIC-LSU: Related Work . 48 3.5 BIC-LSU: Conclusion . 49 3.6 MinCOF Project: Minimal Coflow Routing and Scheduling in OpenFlowbased Cloud Storage Area Networks . 49 3.7 MinCOF: Motivation . 52 3.8 MinCOF: Framework Design . 53 3.9 MinCOF: Evaluation . 64 3.10 MinCOF: Related Work . 69 3.11 MinCOF: Conclusion and Future Works . 70 CHAPTER 4: APPLICATION-AWARENESS IN DATA CENTER NETWORK USING FAST PACKET PROCESSING LIBRARY 72 4.1 Coflourish Project: Introduction . 72 4.2 Motivation . 75 4.3 Framework Design . 77 4.4 Simulation Evaluation . 89
Evidence-based librarianship: Utilizing data from all available sources to make judicious print cancellation decisions

Abstract As the cost of periodicals continues to rise, libraries must consider the value of titles currently acquired or subscribed to. At Yale University's Cushing/Whitney Medical Library (CWML), staff employed an evidence-based librarianship (EBL) approach that combined use data from several disparate sources to make the best decisions regarding the cancellation of specific journals' print format. These best-evidence sources include the following: a 3-month usage study of 1249 current unbound print journals; statistics about 3465 MEDLINE-indexed electronic journals accessed via ExLibris' linking tool SFX; statistics from the Association of Research Libraries (ARL) and the American Association of Health Sciences Libraries; and various traditional library statistics.
Design of PSO based I-PD Controller and PID Controller for a Spherical Tank System

Objective: The objective is to design PSO based I-PD Controller and PID Controller for a nonlinear system. The nonlinear system selected is Interacting Spherical Tank System. Methods: Controlling of a nonlinear system is an important process. The PID Controller and PSO based I-PD controller are designed for the non linear systems selected and the error values are calculated. The comparison of performance between these two controllers is done and result is produced. Findings: From the simulation result it is inferred that PSO based I-PD controller gives smooth response when compared to PID controller whereas error indices are less in PID controller. Applications: The spherical Tank is widely used in petrochemical industries, paper making industry, water treatment industries.
Beating the system: abuses of the standards adoption process

The current processes by which telecommunications standards are adopted are flawed. Certain companies are able to exploit these flaws to extract hundreds of millions of dollars in patent royalties from the telecommunications industry. In particular, companies can: (1) word their patent statements to appear to comply with the bylaws of an organization while not actually doing so; (2) interpret their statements to provide a basis to refuse to offer licenses to certain parties; and (3) hide their intellectual property until after a standard has been adopted and has gained widespread acceptance. Exposure of these strategies may enable contributors to better analyze the patent statements of standard committee members and generate improved organization bylaws.
Aspects of a perimetric learning index

The purpose of this thesis was to develop further the Learning Index in perimetry and examine how it performs in different groups, with different algorithms and investigate different procedures of calculation. The Learning Index calculated using concentric rings of visual field data, following the method of Olsson and colleagues (1997), facilitated in a MatLab environment. The used data included visual field assessment for 29 normal, 25 glaucoma and 25 ocular hypertensive individuals who followed perimetry for both eyes, for different strategies and for five consecutive visits once a week. Alternative methods to evaluate the LI were used like the glaucoma hemifield test pattern. The influence of the different strengths of a variety of filters was also used, filtering the perimeter outcome in order to disassociate learning effect from real defects. Mean and Median filters were also used, and dissimilar Adaptive filters as well, that seemed to be robust filters that could help to establish a more sensitive Learning Index. In automated perimetry the innovation of a Learning Index would consider and examine how individuals learn to perform better visual field tests during recurrent visits under different algorithms. The argument is if that Learning Index could allow clinicians performing visual field tests to administer their patients and control possible detected abnormality, after their first or second visual field test. In this way they will prevent development of the disease, confine patient’s fatigue and provide quality of life and simultaneously financial savings for the state and private health organizations. The carried out learning index calculations results were sufficiently encouraging for a next phase of a future index development and with likelihood in the future to be incorporated in automated perimeters algorithms.
Motor imagery classification from human EEG signatures

Brain-computer interface (BCI) systems translate the imagination in the human brain to an action in real world by means of machines. These systems can prove to be a blessing for severely impaired patients in terms of BCI prosthetics. This paper proposes a motor imagery classification system based upon Wavelet Packet Decomposition (WPD) and Support Vector Machine (SVM). The wavelet packet transform is used for both selection of sensory motor frequency band and feature extraction. The publically available BCI competition-IV data set-I has been used to evaluate the performance of the proposed scheme. The obtained classification results outperform the previously reported results of the technique Noise Assisted Multivariate Empirical Mode Decomposition (NA-MEMD) for subjects 'a' and 'b', where 'a' and 'b' refers to two subjects from BCI competition data set-IV.