Miracle-dz/UniFAR-FTUs huggingface dataset:
RELATED WORK 2 . 1 Smart Meter Data Analytics

Smart electricity meters have been replacing conventional meters worldwide, enabling automated collection of fine-grained (every 15 minutes or hourly) consumption data. A variety of smart meter analytics algorithms and applications have been proposed, mainly in the smart grid literature, but the focus thus far has been on what can be done with the data rather than how to do it efficiently. In this paper, we examine smart meter analytics from a software performance perspective. First, we propose a performance benchmark that includes common data analysis tasks on smart meter data. Second, since obtaining large amounts of smart meter data is difficult due to privacy issues, we present an algorithm for generating large realistic data sets from a small seed of real data. Third, we implement the proposed benchmark using five representative platforms: a traditional numeric computing platform (Matlab), a relational DBMS with a built-in machine learning toolkit (PostgreSQL/MADLib), a main-memory column store (“System C”), and two distributed data processing platforms (Hive and Spark). We compare the five platforms in terms of application development effort and performance on a multi-core machine as well as a cluster of 16 commodity servers. We have made the proposed benchmark and data generator freely available online.
Cervical Sagittal Alignment in Extensive Fusions for Lenke 3 C and 6 C Scoliosis

preoperative CL and 14 had CK. Twenty-eight of 41 patients Study Design. A retrospective analysis of cervical sagittal alignment (CSA) in Lenke 3C and 6C adolescent idiopathic scoliosis (AIS). Objective. The aim of this study was to evaluate CSA according to upper instrumented vertebra (UIV) level. Summary of Background Data. Hypokyphotic effect of extensive fusions of Lenke 3C and 6C curves on thoracic spine leads to kyphotic changes in cervical region. No study has evaluated the CSA in these patients according to UIV level. Methods. A total of 55 Lenke 3C and 6C AIS patients who underwent posterior fusion with pedicle screw instrumentation were recruited in this study. Patients were divided into three groups according to UIV level, which was determined preoperatively on the basis of shoulder balance. There were 22, 19, and 14 patients in T2, T3, and T4 groups, respectively. Three groups were similar according to demographic and preoperative coronal and sagittal alignment parameters. Patients were compared at two-year follow-up according to radiographic changes in coronal and sagittal planes. Main sagittal parameters were C2-C7 cervical lordosis (CL), T1 slope, T1-T5, and T5-T12 kyphosis. Clinical outcomes were assessed using scoliosis research society (SRS)-22 and short form (SF)-36 questionnaires. Results. In all patients, C2-C7 CL, T5-T12 kyphosis, and T1 slope significantly decreased postoperatively (P<0.05). The amount of decrease was similar between groups. T1-T5 kyphosis did not change significantly in all groups. Twenty-seven patients had postoperative cervical kyphosis (CK). Thirteen of them had
Methodology to evaluate user experience in non-fully loaded wireless communication systems

Evaluating user experience in wireless communication systems is, especially for operators, an important issue and ongoing research topic. In contrast to most of the literature, where the main focus is on network capacity evaluations using full-buffer traffic assumptions, we focus on more realistic traffic models to evaluate impacts of different network deployment strategies. We define three different service classes each having its own requirements regarding user experience. Goal of the presented approach is to recreate aggregated data volumes and active times by flexible service combinations. In this paper a traffic modeling methodology is presented and used, in order to assess the impact of increasing user data demand in conjunction with available wireless spectrum extensions, on the user experience and the average cell load in 4G (Long Term Evolution, LTE) networks. Results show non-linear impact of the investigated parameters, which highlights the need of realistic traffic model simulations for the evaluation of user experience improvement strategies.
Efficient Fpe Algorithm For Encrypting Credit Card Numbers

The more highly used Internet world contains many sensitive information. Encryption is a process to secure information. An encrypted data requires more storage space for storing. It also needs many changes in queries and application programs. This paper we introduce an efficient algorithm to encrypt the credit card number without changing the format and type. Encryption is a process of converting the plaintext (clear text) to unreadable cipher text. Decryption is a reverse process in which the cipher text is converted into plaintext. We store and transmit much sensitive information through the internet. Encrypting data at flight means encryption is done in the sender side and decryption is done in the receiver side. Encrypting data at rest is used to protect confidential data stored on host from the privileged users. There are many database security policies like authentication, access rights, digital signature etc. But 45% of the attackers are insiders. The existing security techniques are not enough for protecting the data. So we need powerful encryption algorithm. Database encryption is the process of converting the plaintext in the database to unintelligible cipher text format. Database encryption is implemented using strong encryption such as AES, RSA or SHA256. II. DRAWBACKS IN DATABASE ENCRYPTION  Encrypted text requires more storage space than clear text data  Inserting encrypted text and decrypted queries are slower than the inserting plaintext.  SQL statements are slow down due to encryption.  Record searching is more complex in encrypted database.  Queries will be changed to handle the encrypted data.  An existing application programs are also changed to handle the encrypted database.  Cannot maintain intellectual property of the database such as index.
Human Action Recognition Based on Non-linear SVM Decision Tree

Even great efforts have been made for decades, the recognition of human actions is still an immature technology that attracted plenty of people. This paper presents a novel classification method for multiple kinds of actions from videos, which is represented by centroid-radii model descriptor and classified by Non-linear SVM Decision Tree (NSVMDT). It solves the problem that trades off activity recognition rate and computational complexity, rather than highlight the former exclusively. We extract binary silhouette images after the background model is created. Then the low-level features are described by centroid-radii model. We utilize NSVMDT to train and classify video sequences, and demonstrate the usability with many sequences. Compared with others, our method is applicable to intelligent surveillance, and its advantage lies in robustness, computational complexity, geometric invariance and classification performance.
Using SMERT to Identify Actionable Topics in Student Feedback

In this article, we explore the application to course evaluation analysis of two recently introduced text clustering methods: Latent Dirichlet Allocation (LDA) and Subject Matter Expert Refined Topic (SMERT). The clustering methods transform free-style or ordinary text into cluster or “topic” definitions and estimated proportions. For example, one result was that 12% of the student words were concerns about the content length for the online videos. We briefly review the clustering methods and then focus on a real world case study. The case study is associated with students’ feedbacks from a required for third-year Industrial Engineering and is used to illustrate the practical value of the proposed methods. The main result shows that the proposed method provides feedbacks that have the greatest cumulative effect which allows us to focus attention on a few important feedbacks rather than less important ones.
ENTREPRENEURIAL INTENTIONS AMONG UNIVERSITY STUDENTS IN EAST AFRICAN COMMUNITY: CASES OF RWANDA AND KENYA

Purpose – The purpose of this paper is to assess the entrepreneurial intentions among university students in East African Community countries of Rwanda and Kenya. Design/methodology/approach – The sample used in this paper consists of 275 students from Kigali Independent University (ULK) and University of Nairobi. The data are collected by means of a structured questionnaire. We use the Theory of Planned Behavior by Ajzen (1991) and its four variables: perceived behavior control, personal attitudes, subjectives norms, and intention. We add a four variable related to caring about other peoples’ opinion as suggested by Lin ̃a ́n, F. and Chen, Y. -W. (2009) Findings – Results show that our model is globally significant (F 72, 588, p =0 .000) and the variables that we used explain 51.8% of entrepreneurial intention. Among the variables that we considered in our study, we found that subjective norms, personal attitudes and perceived behavioral control influence positively students’ entrepreneurial intention in East Africa. In contrast, care about others’ opinion does not influence students’ entrepreneurship intention in East Africa. Research limitations– This study has several limitations. First, it is important to stress that the sample was not probabilistic and that the students who participated in the investigation cannot be considered as representative of the total population of university students. It would be useful to compare other countries with contextual factors of entrepreneurial intentions as Rwanda and Kenya, such as the other East African community countries, some African countries, or even countries on other continents such as Asia or South America. Practical implications – Government public policies promoting entrepreneurship will find in our study key parameters on which to base their strategies KeywordsEntrepreneurial intentions, attitudes, subjective norms, perceived behavioral control Paper typeResearch paper
Reflections on the Regulatory Approach to E-Finance

In the last 20 years, the financial services industry has witnessed dramatic changes, largely driven by globalisation, deregulation and consolidation. Technological advances helped make globalisation and consolidation feasible and encouraged deregulation. More recently, IT has accelerated the process, reinforcing some of these trends, particularly globalisation and deregulation, as well as facilitating the development of e-finance. In the first part of this paper, attention will be focused on the interaction between the recent trends that have been shaping the way financial services are provided worldwide and the advent of IT. The second part focuses on the regulatory challenges posed by IT to financial services. First, we discuss why regulation of financial markets continues to be necessary in spite of the changes in the financial structure brought about by technology, and what sort of approach to regulation is better suited to this new environment, particularly in consumer and investor protection and promotion of competition. Secondly, we discuss in more detail the challenges posed for the traditional regulatory approach to reducing systemic risk. Thirdly, we comment on a supervisory model that seems to fit better an ever more complex financial structure.
Study on the Nozzles Wear in Agricultural Hydraulic Sprayer

The aim of the current study was to investigate some factors affected on the sprayer flow rate and nozzle wears includes spraying pressure, duration of test, type of nozzles. The current research conducted in the laboratory of agricultural engineering department, faculty of agricultural kafr el sheikh university, Egypt. Five different types of nozzles were used under three different operating pressure 150 kPa, 220 kPa and 370 kPa. The time operating tests curried out at 0 h, 48 h, 120 h, 180 h and 240 h. The nozzle wear value for the Tip ceramic AD120-04 nozzle was 10.2 % at maximum operating pressure 370 kPa and after 240 h duration operation time. The increasing of duration operation time test of the different nozzles tips tends to increase the nozzle wears. The ceramic AD120-04 nozzle gave the low values of nozzle wear compared to LU90-03, LU9005, ST110-04 and ES90-04 nozzles at all operation time and three operating pressures. The nozzle wears value after 48 h was 3.8 % for ES90-04 at 370 kPa operating pressure. The nozzle wears value after 240 h were 15.45 %, 15.8 %, 10.2 %, 14.8 % and 16.05 % for LU90-03, LU90-05, AD12-04, ST11004 and ES90-04 at 370 kPa operating pressure respectively. Brass ES 90-04 nozzle gave the maximum nozzle wears after 240 h duration time. The nozzle wear for ES 90-04 brass nozzle were. 12.7 %, 13.95 % and 16.05 % at 150 kPa, 240 kPa and 370 kPa operating pressure respectively.
IndHist : Tangible Approach To Learn Indian History

Previous studies show that history is considered to be less engaging due to the non-participatory learning experience it offers. This paper presents IndHist, a novel approach of multimedia enabled instructional design technique supported through tangible user interfaces to teach historical events of India with an aim to enhance participatory and constructive learning Historical events (e.g. the salt march, the revolt of 1857) are presented through multiple tokens placed on interactive tabletop. These tokens are manipulated to demonstrate information through an audio-visual interface. Fiducial markers are used to track the presence and positioning of each token. Usability evaluation with twenty participants produced motivating qualitative and descriptive quantitative results along with few system interface design suggestions which could be helpful for those who want to work further in this direction.
Collaborative and corpus-driven approaches towards lexicalized grammar-based natural language processing

ËÌÊÊÌ This dissertation proposes two approaches for constructing essential components of lexicalized grammar-based natural language processing (NLP). We first provide a framework for developing static components such as grammar resources and parsing technologies collaboratively across the grammar formalisms. We second propose two corpus-driven methods of acquiring generic lexical resources, which are dynamic in nature, for lexicalized grammars. The first part of this dissertation proposes grammar conversion as a means of abstracting away surface differences between the individual formalisms, and presents a methodology for collabo-rative development of the static components of lexicalized grammars. Grammar conversion has been so far proposed for sharing grammar resources between the formalisms. We show that, by constructing a strongly equivalent grammar in a particular formalism from one given in another formalism, one can gain a deeper insight into generic parsing techniques that are used for efficient implementation of parsers for the formalisms, through comparison between the parsers using the strongly equivalent grammars. We proposed a grammar conversion from LTAG to HPSG-style grammar, and then conducted two sets of experiments from viewpoints of resource sharing and parsing comparison. A large-scale LTAG grammar, the XTAG English grammar, was successfully converted into an HPSG-style grammar. Empirical comparisons between LTAG and HPSG parsers with dynamic programming and CFG filtering were then conducted using the strongly equivalent grammars, respectively. We thereby suggest a definite way of improving these generic parsing techniques. The second part of this dissertation concerns two corpus-driven methods of augmenting lexical resources for lexicalized grammars. We first propose a filtering method of subcategorization frames acquired from raw corpora, and acquire a reliable set of SCFs to augment lexicons of lexicalized grammars. We perform clustering of words according to their alternation behaviors, and use the obtained clusters to guide filtering. We applied this filtering method to hand-coded lexicons of lex-icalized grammars, and successfully filtered out less plausible SCFs from the noisy SCFs acquired from raw corpora. We second propose a method of constructing a probabilistic lexicon with accurate estimates of co-occurrence probabilities between words and SCF, by using the PLSA model for smoothing the co-occurrence probabilities estimated from raw frequency counts. Given accurate estimates for co-occurrence probabilities between words and SCFs, a reliable set of lexicons can be reconstructed by thresholding. We applied this smoothing method to SCFs for HPSG acquired from annotated corpora, and successfully decreased the test-set perplexity of the co-occurrence probabilities by the interpolated model based …
Clinical observation of percutaneous vertebroplasty in the treatment of senile osteoporosis complicated with vertebral compression fractures

Objective: To compare the effects of conservative treatment and vertebroplasty in the treatment of senile osteoporosis complicated with thoracic or lumbar vertebral compression fractures. Methods: Sixty-eight patients with osteoporosis complicated with thoracic or lumbar vertebral compression fractures admitted to Jining NO.1 People’s Hospital from March 2016 to March 2017 were selected and randomized into control and experimental groups, and subjected to conservative treatment and percutaneous vertebroplasty respectively. One month after treatment, the effective rate of clinical treatment, pain scores and mobility of the two groups were evaluated by follow-up observation. Results: The total clinical effective rate of the experimental group was better than that of the control group. The post-treatment pain scores in Visual analogue scoring of both groups were significantly improved compared to the pre-treatment scores, and the experimental group scores were superior to those of the control group. The vertebroplasty group also showed significantly better post-operative mobility scores compared to the control group (all P<0.05). Finally, imaging evaluation revealed significantly greater vertebral height and smaller recovery wedge angle in the vertebroplasty group compared to the control group (both P<0.05). Conclusion: Compared to conservative treatment, vertebroplasty can effectively reduce the pain in patients with compression thoracolumbar fractures, improve clinical treatment and prognosis, and can be considered for the treatment of senile osteoporosis with vertebral compression fractures.
APPLICATION OF THE SPATIAL STOCHASTIC FRONTIER MODEL FOR ANALYSIS OF A REGIONAL TOURISM SECTOR

This research is devoted to an econometric analysis of competition and cooperation on the regional tourism market between regions within the Baltic States (Estonia, Latvia, Lithuania). We estimate the relative regional efficiency levels of tourists’ attraction and discovered factors affecting them. We propose an econometric approach called Spatial Stochastic Frontier, which corresponds to a spatial modification of a stochastic frontier model. The study includes three alternative specifications of the spatial stochastic frontier model: distance-based, travel-time based, and border-based. It is intended to identify the influence of existing transport networks on research results. On the base of the models’ estimation results we analyse region-specific factors (tourism infrastructure, employment, geographical position and natural attractions) which affect the numbers of visitors and estimate regions’ efficiency values. We discover a significant level of inefficiency of tourists’ attraction in Baltic States region and propose some ways to improve the situation.
Feasibility of automatic sound recognition in elderly care monitoring

Intelligent and adaptive home environment systems can support elderly inhabitants in maintaining healthy and active lifestyles. A major part of such systems consists of intelligent monitoring of the inhabitant and its environment using a variety of sensors. Audio sensors could additionally be used to detect the type of activities of inhabitants and link them to high-level activities in daily living (ADL). For example, the sounds of a running water tap, followed by a clattering kettle, followed by the lighting of a match, and some slamming of cupboard doors could indicate, that someone is making hot water (probably for tea or coffee).
The Financialization of Storable Commodities September 22

I solve a dynamic equilibrium model of commodity spot and futures prices, incorporating an active futures market, heterogeneous risk-averse participants, and storage. When calibrated to data from the crude oil market, the model implies that financialization reduces the futures risk premium, and increases correlation between futures open interest and the spot price level. However there is no long-run increase in the mean spot price, and speculative storage generally attenuates financialization’s effect on spot price volatility. Therefore financialization’s effect on spot price dynamics through storage arbitrage is likely modest, even if futures positions and risk premia are substantially altered.
Comparative Analysis of Handoff Management Protocols MIPV6 and HMIPV6 in Next Generation Wireless Systems

Recent research in wireless communications technologies has focused to the development of Next Generation wireless systems (NGWS) which integrate various existing wireless networks technologies, each of which is optimized for some specific services such as WLANs, WiMAX, General Packet Radio Service (GPRS) and Universal Mobile Telecommunications System (UMTS). The Most important and challenging issue is to realize seamless handoff with small handoff latency and packet loss to ensure Quality of service
Perceptions of Healthcare among Underprivileged Villagers : A Qualitative Inquiry

Language in India www.languageinindia. comISSN 1930-2940 19:1 January 2019 Samarjit Kachari, Ph.D. Perceptions of Healthcare among Underprivileged Villagers: A Qualitative Inquiry 250 ====================================================================== Language in India www.languageinindia. comISSN 1930-2940 Vol. 19:1 January 2019 India’s Higher Education Authority UGC Approved List of Journals Serial Number 49042 ===================================================================== Perceptions of Healthcare among Underprivileged Villagers: A Qualitative Inquiry
Proposal and evaluation of models for the glottal source waveform

Speech analysis for high quality speech synthesis or high accuracy speech recognition requires realistic models not only for the vocal tract but also for the voice source. In the present paper, we investigate models for the glottal volume velocity waveform. Previously proposed models are reviewed and classified according to their level of elaboration in expressing the glottal characteristics. A new model is then proposed which possesses all the important features of previously proposed models. A method is also described for simultaneously estimating the glottal source and vocal: tract parameters. Using this method, evaluation of glottal model parameters is carried out on real speech by varying the number of parameters in the proposed model. The results indicate the importance of detailed modeling of the period of glottal closure for accurate analysis.