Miracle-dz/UniFAR-FTUs huggingface dataset:
MEMS SENSOR BASED UNDERWATER AHRS (ATTITUDE AND HEADING REFERENCE SYSTEM) AIDED BY COMPASS AND PRESSURE SENSOR

MEMS SENSOR BASED UNDERWATER AHRS (ATTITUDE AND HEADING REFERENCE SYSTEM) AIDED BY COMPASS AND PRESSURE SENSOR Özgeneci, Mehmet Erçin M.Sc., Department of Electrical and Electronics Engineering Supervisor : Prof. Dr. Tolga Çilŏ glu Co-Supervisor : Assoc. Prof. Dr. Ça ğ tay Candan September 2012, 84 pages Attitude and Heading angles are crucial parameters for navigation. Conve ntional navigation methods mostly uses IMU and GPS devices to calculate these angles. MEMS tech nology offers small sized, low cost IMU sensors with moderate performance. Howev er, GPS cannot be used in underwater. Therefore, di fferent aiding sensors are used in underwater vehicles in order to increase the accuracy. As the accuracy of devices increase s, the cost of these devices also increases. In this thesis, rather than using GPS and high quality IMU se nsor , low cost MEMS IMU sensor is used together with a magnetometer and a pressure sens or as aiding sensors. Considering the IMU error model and motion dynamics, two systems are designed and simulated using real data. The results seem to be satisfactory and using pressure sensor as an aiding sensor improves the attitude angles estimation.
Replication, Security, and Integrity of Outsourced Data in Cloud Computing Systems

In the current era of digital world, the amount of sensitive data produced by many organizations is outpacing their storage ability. The management of such huge amount of data is quite expensive due to the requirements of high storage capacity and qualified personnel. Storage-as-a-Service (SaaS) offered by cloud service providers (CSPs) is a paid facility that enables organizations to outsource their data to be stored on remote servers. Thus, SaaS reduces the maintenance cost and mitigates the burden of large local data storage at the organization’s end. For an increased level of scalability, availability and durability, some customers may want their data to be replicated on multiple servers across multiple data centers. The more copies the CSP is asked to store, the more fees the customers are charged. Therefore, customers need to have a strong guarantee that the CSP is storing all data copies that are agreed upon in the service contract, and these copies remain intact. In this thesis we address the problem of creating multiple copies of a data file and verifying those copies stored on untrusted cloud servers. We propose a pairing-based provable multi-copy data possession (PB-PMDP) scheme, which provides an evidence that all outsourced copies are actually stored and remain intact. Moreover, it allows authorized users (i.e., those who have the right to access the owner’s file) to seamlessly access the file copies stored by the CSP, and supports public verifiability. We then direct our study to the dynamic behavior of outsourced data, where the data owner is capable of not only archiving and accessing the data copies stored by the CSP, but also updating and scaling (using block operations: modification, insertion, deletion, and append) these copies on the remote servers. We propose a new map-based provable multi-copy dynamic data possession (MB-PMDDP) scheme that verifies the intactness and consistency of outsourced dynamic multiple data copies. To the best of our knowledge, the proposed scheme is the first to verify the integrity of multiple copies of dynamic data over untrusted cloud servers. As a complementary line of research, we consider protecting the CSP from a dishonest owner, who attempts to get illegal compensations by falsely claiming data corruption over
Both Ended Sorting Algorithm & Performance Comparison with Existing Algorithm

One of the basic areas of the computer science is Data Structure. Sorting is an important issue in Data Structure which creates the sequence of the list of items. Although numbers of sorting algorithms are available, it is all the more necessary to select the best sorting algorithm. Therefore, sorting problem has attracted a great deal of research as sorting technique is very often used in a large variety of important applications so as to arrange the data in ascending or descending order. This paper presents a Both Ended Sorting Algorithm which is faster or better than the bubble sort& others algorithm. After having studied various sorting algorithms; I came to the conclusion that there is no such sorting algorithm which works on the basis of both end comparison right end as well as left end. The new algorithm so is then analysed, implemented & tested. The test results obtained are then presented and compared with the traditional Sorting Algorithm. Worst case complexity is also improved as a compare to bubble sort.
Suboptimum coherent detection of direct-sequence multiple-access signals

The authors consider a class of suboptimum detectors for data transmitted asynchronously by K users employing direct-sequence spread-spectrum multiple access (DS/SSMA) on the additive white Gaussian noise (AWGN) channel. The general structure of these detectors consists of a bank of matched filters, a linear transformation that operates on the matched-filter outputs, and a set of threshold devices. The linear transformations are chosen to minimize either a mean-squared-error or a weighted-squared-error performance criterion. Each detector can be implemented using a tapped delay line. The number of computations performed per detected bit linear in K in each case, and the resulting detectors are thus much simpler than the optimum detector. Under typical operating conditions, these detectors will perform much better than the conventional receiver and often nearly as well as the optimum detector. <<ETX>>
User Specific Search Using Grouping and Organization

The research overview described focuses on the design of search history displays to support information seeking (IS). Users are increasingly pursuing complex task- oriented goals on the Web, such as making travel arrangements, managing finances or planning purchases. Searchers create and use external records of their actions and the corresponding results by writing/typing notes, using copy and paste functions, and making printouts. To better support users in their long-term information quests on the Web, search engines keep track of their queries and clicks while searching online. In this paper, we study the problem of organizing a user's historical queries into groups in a dynamic and automated fashion. Automatically identifying query groups is helpful for a number of different search engine components and applications, such as query suggestions, result ranking, query alterations, sessionization, and collaborative search. We experimentally study the performance of different techniques, and showcase their potential, especially when combined together.
The Lecture Checklist: Inexpensively Improving Teaching Performance

PURPOSE In this article, we propose using a simple lecturing checklist for teaching preparation. The lecture checklist is “live”, and customisable to a teacher’s context and may be used for teaching in nonengineering disciplines. The lecture checklist provides a low-cost and effective framework to reflect and address student feedback, as well as for incorporating best-practice methods and teacher-driven innovations. In comparison to more comprehensive resources (Chickering & Gamson, 1987; Hadgraft, 2009), the lecture checklist is a light-weight and highly individualised accessory and is meant to evolve at a pace set by the owner. DESIGN/METHOD As evidence, we present details of the evolution of the first author’s teaching practice over 5 years and the in-tandem development of a lecturing checklist for teaching computer systems and software engineering courses at two leading Australasian universities. This lecture checklist matured from containing three items initially, into a 12-item list as the teaching practice was refined following formal teacher training, critical reflection, several peer observations (Cosh, 1999), and formative and summative student feedback.
Can A1C replace oral glucose tolerance test in the evaluation of patients with impaired fasting glucose

Results: The average age of the subjects was 54.2 ± 14.6 years, the average BMI was 30.2 ±5.5 and 70.5% were women. While levels of A1C ≥6.5% were associated to alterations in the 2-hPG in 86.7%, only 28.6% of these patients had 2-hPG >11.1mmol/l. Furthermore, 31.6% of the patients with DM diagnosed by the OGTT had A1C levels ≥6.5% and 64.3% of the patients with A1C < 5.7% had a normal OGTT. The Kappa coefficient of reliability between A1C and 2-hPG to diagnose DM was 0.71.
Osteopathic Treatment of Patients Suffering from Chronic Non-specific Low Back Pain: A Dose- response Pilot Study

Background: Dose- response studies are needed for pharmaceuticals, but have not been commonly performed in the field of manual therapy. Objective: The aim of this study was to determine the combination of treatment numbers and intervals needed to obtain the optimal effect of osteopathic treatment for patients with chronic non-specific low back pain and to highlight methodological aspects concerning dose-response studies in the field of manual therapies. Design: The study was performed as an open, randomized, single -centre trial with a 22 factorial design. Methods: The patients were allocated equally to four groups by block randomization. The first group was given two treatments at an interval of 14 days, the second group was given two treatments at an interval of seven days, the third group received four treatments with intervals of 14 days, and the fourth group received four treatments with intervals of seven days. Oswestry Disability Index (ODI) and the Numeric Pain Rating Scale (NPRS) were recorded at baseline and two weeks post treatment. Participants: Eight women and four men with chronic non-specific low back pain were included. Results: The two treatments with an interval of 14 days resulted in an ODI reduction of only 1.3 (95% CI: -21 – 24.1). The largest reduction in ODI was detected in the four treatments with the seven days intervals. The mean reduction in this group was found to be 19.3 (95% CI: -14.4 – 53.1). An interaction between the number of treatments and the treatment interval was observed. Conclusion: The effect increased with increases in the numbers of treatment and reductions in the treatment interval. The program with four treatments and intervals of seven days was found to be optimal among the four examined regimens.
The Information Processing of Print Advertisements by Middle-aged Women

The purpose of this paper is to explore the most effective print advertising strategy in terms of message strategy and execution framework for middle-aged women in India. Middle-aged women (n = 400) watched twenty advertisements in which message strategy and execution framework were manipulated in a 2×10 completely crossed factorial design and were asked to rate their attention, comprehension, retention, attitudes and purchase motivation about these advertisements. Results suggest that cognitive message strategy along with dramatization as execution framework is most effective for middle-aged women.
THE APPLIED STATISTICAL SCIENTIST IN A HIGH-PROFILE ACADEMIC ENVIRONMENT

In C. Reading (Ed.), Data and context in statistics education: Towards an evidence-based society. Proceedings of the Eighth International Conference on Teaching Statistics (ICOTS8, July, 2010), Ljubljana, Slovenia. Voorburg, The Netherlands: International Statistical Institute. www.stat.auckland.ac. nz/~iase/publications.php [© 2010 ISI/IASE] THE APPLIED STATISTICAL SCIENTIST IN A HIGH-PROFILE ACADEMIC
transgene expression using adenoviral vectors: impact of promoters on Targeting brain stem centers of cardiovascular control

You might find this additional info useful.This article cites€43 articles, 20 of which you can access for free at: http://physiolgenomics.physiology. org/content/20/2/165.full#ref-list-1This article has been cited by€18 other HighWire-hosted articles: http://physiolgenomics.physiology. org/content/20/2/165#cited-by Updated information and services including high resolution figures, can be found at: http://physiolgenomics.physiology. org/content/20/2/165.fullAdditional material and information about Physiological Genomics can be found at: http://www.the-aps.org/publications/physiolgenomicsThis information is current as of May 29, 2013.
Enhancement and source imaging of electrical activity in the brain associated with behavioural microsleeps

Lapses in responsiveness (‘lapses’), especially behavioural microsleeps (‘microsleeps’) and attention lapses, involve complete disruption of performance from 0.5 to 15 s and can result in injury or death, especially in the transport sector (e.g., pilots, air-traffic controllers, truck and car drivers, etc.). The existence of a real-time monitoring system for detecting lapses could reduce accidents and save lives. The Christchurch Neurotechnology Research Programme (www.neurotech.org.nz) is a leader in lapse research in terms of characterization and EEG-based detection of microsleeps. Despite its achievements, there is still some way to go toward developing a system capable of accurately detecting, let alone predicting, microsleeps in the real world. Functional magnetic resonance imaging (fMRI) has shown increases and decreases in blood oxygen level dependent (BOLD) activity in certain regions of the brain prior to and during microsleeps. During microsleeps, the BOLD signal (and, hence, neural activity) decreases in the thalamus and posterior cingulate cortex but increases in several cortical regions, including the inferior frontal cortex, posterior parietal cortex, and occipital cortex. Furthermore, the extent of decreases in neural activity in the thalamus increases with the duration of microsleeps. Therefore, identifying regions with increased or decreased activity based on EEG functional imaging would provide more information for current EEG-based microsleep detectors. A limitation of current EEG-based detectors of microsleeps is that analysis is performed on sensor-space EEG data which does not, and cannot, take advantage of the dipolar pattern of brain source signals. Hence, they cannot estimate signals from specific regions in the brain related to microsleeps, such as the thalamus. Synchronous activation and alignment of neurons produces electrical currents and changes in potentials on the scalp which can be recorded by EEG sensors, and these sources can be modelled via head-modelling techniques as equivalent current dipole sources. The electrical activity of these sources is not distributed uniformly on the scalp and has a dipolar pattern. Therefore, techniques such as spatial filters, which assume a dipolar constraint, can be used to reconstruct EEG source-space signals, i.e., reconstruct the time-series of virtual voxels. In this way, it is possible to reconstruct/enhance the signal of different brain regions and/or identify which brain regions have activations/deactivations associated with
Implementation of GMM for HD Video Segmentation using FPGA

Background identification is required in video processing application, such as video surveillance, traffic monitoring. Gaussian Mixture model (GMM) algorithm makes FPGA circuit to perform background identification on High definition video sequence in real time. The GMM algorithm gives good performance in both presence of illumination and multi-model background.GMM algorithm used for real time processing of HD videos and comply with OpenCV algorithm. The implementation of the Open CV GMM algorithm is implemented on Virtex5 (Digilent Genesys Virtex5-LX50T Board) Xilinx FPGA can process at a frame rate more than 60fps. Fitting, Place and Route have been carried out by Xilinx ISE Design Suite.The FPGA implementation of proposed background identification circuit provides improved speed and logic utilization.
Neue Wege in der Diagnostik der ADHS bei Erwachsenen

Zusammenfassung Anliegen Die Pilotstudie stellt erste Ergebnisse zu den Testgütekriterien des „Essener Interviews zur schulzeitbezogenen Biografie bei adulter ADHS“ (EIS-B) vor, welches den retrospektiven Beleg einer Aufmerksamkeitsdefizit-/Hyperaktivitätsstörung (ADHS) in der Kindheit ermöglichen soll. Methode EIS-B wurde bei 36 Patienten mit ADHS, 27 klinischen und 39 gesunden Kontrollpersonen angewendet. Ergebnisse und Schlussfolgerung EIS-B erwies sich als reliabel und valide (Sensitivität: 82 %, Spezifität: 100 %). Ziel weiterer Studien ist die Evaluierung mit größeren Stichproben.
Comparison of Surgical Outcomes Between Resection and Enucleation in Robot-Assisted Laparoscopic Partial Nephrectomy for Renal Tumors According to the Surface-Intermediate-Base Margin Score: A Propensity Score-Matched Study.

OBJECTIVE To compare the surgical outcomes between resection and enucleation in robot-assisted laparoscopic partial nephrectomy (RAPN) based on the Surface-Intermediate-Base margin score (SIB score). PATIENTS AND METHODS This study included 282 patients who underwent RAPN between 2014 and 2016. SIB score was macroscopically evaluated immediately after the surgery. We divided the patients into the following two groups: enucleation (SIB score, 1-2) and resection (SIB score, 3-5). To minimize selection bias between the two surgical methods, patient variables were adjusted by 1:1 propensity score matching. RESULTS Of the 282 patients, 48 were assigned to the enucleation group and 234 to the resection group. After matching, 45 patients were included in each group. The mean preoperative estimated glomerular filtration rate (eGFR) was 70 mL/min/1.73 m2. The mean tumor size was 32-33 mm. The decrease in eGFR (5.6 vs 12%, p = 0.0365) and total perioperative complication (16% vs 38%, p = 0.0171) were significantly lower in the enucleation group than in the resection group. Estimated blood loss was higher in the enucleation group than in the resection group (129 cc vs 117 cc, p = 0.0088), despite a similar transfusion rate. The postoperative length of hospital stay was shorter in the enucleation group than in the resection group (4.1 vs 5.0 days, p = 0.0288). Operation time and surgical margin status were not significantly different between groups. CONCLUSIONS In carefully selected patients, enucleation was associated with more favorable surgical outcomes in the cohort than resection, including improved renal function and a lower complication rate.
The prediction of venture capital co-investment based on structural balance theory

In this paper, we study the prediction of co-investment of VCs. We present a series of observation analysis, design a large number of features, and then select prominent features for co-investment by group Lasso. Then we propose a factor graph model SBFG based on structural balance theory to formalize the observation into a unified model. Experiment results show that the proposed method can accurately (around 90% in terms of accuracy) predict the co-investment in the near future with only 10 features selected by group Lasso, and obtains a significant improvement over the baselines.
High‐Performance Amorphous Multilayered ZnO‐SnO2 Heterostructure Thin‐Film Transistors: Fabrication and Characteristics

Multilayered ZnO‐SnO2 heterostructure thin films consisting of ZnO and SnO2 layers are produced by alternating the pulsed laser ablation of ZnO and SnO2 targets, and their structural and field‐effect electronic transport properties are investigated as a function of the thickness of the ZnO and SnO2 layers. The performance parameters of amorphous multilayered ZnO‐SnO2 heterostructure thin‐film transistors (TFTs) are highly dependent on the thickness of the ZnO and SnO2 layers. A highest electron mobility of 43 cm2/V·s, a low subthreshold swing of a 0.22 V/dec, a threshold voltage of 1 V, and a high drain current on‐to‐off ratio of 1010 are obtained for the amorphous multilayered ZnO(1.5 nm)‐SnO2(1.5 nm) heterostructure TFTs, which is adequate for the operation of next‐generation microelectronic devices. These results are presumed to be due to the unique electronic structure of amorphous multilayered ZnO‐SnO2 heterostructure film consisting of ZnO, SnO2, and ZnO‐SnO2 interface layers.
A new heuristic for ATM multicast routing

Many services envisaged for B-ISDN and ATM networks involve point-to-multipoint working. Multipoint services with many recipients can impose a much heavier burden on the network than simple point-to-point services, so multicast routing should aim to minimise their demand on the network. Many B-ISDN services are also delay-sensitive. Appropriate multicast routing algorithms for ATM networks are therefore subject to two constraints: they must be economic in their use of network resources and they should offer a delay bound for all recipients. To date, most work on multicast routing algorithms has concerned minimising the total cost of a multicast tree; this problem is known to be NP-complete, being the Steiner tree problem. Combining minimal cost with bounded delay is therefore also an NP-complete problem. Our approach to a heuristic for both constraints works as follows. First, a delay bound is found using Dijkstra's algorithm, which also gives the edges of the original network graph available to a bounded delay solution. An iterative techniques is then used to reduce this graph to a low-cost tree. The paper presents preliminary results comparing our heuristic with solutions obtained using Dijkstra's algorithm alone for delays (which generally gives a high-cost solution) and a heuristic for a low-cost solution based in the Minimum Spanning Tree approach (which in general can give high delays). In both cases, our heuristic performs well. We also compare it with some of our earlier work in which the cost metric was proportional to delay. A reasonably simple solution can be found under this assumption using a minor change to the normal coding of Dijkstra's algorithm.
Comparison of Transperitoneal and Retroperitoneal Laparoscopic Nephrectomy for Nonfunctional Tuberculous Kidneys: A Single-Center Experience.

OBJECTIVES To compare the effectiveness and safety between retroperitoneal laparoscopic nephrectomy (RLN) and transperitoneal laparoscopic nephrectomy (TLN) for nonfunctional tuberculous kidneys (NTK). METHODS From March 2013 to February 2016, 24 patients with NTK underwent laparoscopic nephrectomy in our department. Eleven patients underwent RLN, and 13 underwent TLN. The demographics and perioperative outcomes were compared retrospectively. RESULTS Characteristics, including gender, age, body mass index, and location, were similar in these two groups. All operations were successfully completed in the RLN group, while 1 case in the TLN group was converted to open surgery due to severe adhesions and excessive bleeding (1 of 13 patients). Time to oral intake after surgery in the TLN and RLN group was 43.85 ± 6.01 hours and 27.45 ± 6.83 hours (P < .05). No notable differences were found between two groups in terms of estimated blood loss, operative time, days of drain removal, and postoperative hospital stay. No local or disseminated recurrence was identified during the follow-up period. CONCLUSION Taking the same safety and effectiveness into consideration, TLN can be an alternative choice for experienced surgeons to deal with NTK. Also, further studies with a larger sample size should be performed to confirm this finding.
Secondary stress and metrical rhythm

This paper explores the relationship between some postlexical prosodic processes and metrical rhythm. The main focus is on Spanish secondary stress and related phenomena. Overall, as in previous studies, we shall differentiate three types of stress in Spanish: primary word stress, corresponding to the highest prominence in the lexical word, main phrasal stress, which signals the accentual peak in the phrase or phonic group, and secondary stress, which includes all remaining discernible stresses. It is intuitively plausible, though unsubstantiated experimentally, to assume that these three types correlate with three different degrees of prominence, of which main phrasal stress is the highest and secondary stress the lowest.