Miracle-dz/UniFAR-FTUs huggingface dataset:
An Evaluation Of Behavioral Intention To Use 3G Wireless Network Technology Among The Students Of Abubakar Tafawa Balewa University, Bauchi

Mobile phones have been around for several decades in some form or another, although the first cellular phone call was placed in 1973 in the USA, it was Japan that introduced the first cellular network in 1979 (Gautam & Sinha, 2009). The first internationally roaming cellular network standard was NMT (Nordic Mobile Telecoms), introduced in 1981 which was initially used in Scandinavia and adopted in some countries in central and southern Europe, known as the first generation of mobile cellular telecommunications systems (Ahonen, Kasper & Melkko, 2007). Mobile telecommunication system continuously progresses with the advancement of 3G wireless network technology services and the users‟ demands towards transmission speed and application services. The acceleration of the demand for high speed data services and the spreading of mobile communication have also increased the demand for high speed mobile services. Understanding the behavioral adoption requirements is important to both researchers and industry players. Researches on 3G Technology Services acceptance and adoption provide worthy information on 3G mobile Internet development and implementation. Therefore, Abstract: The study evaluate the factors that play vital role in influencing the behavioral intention of students to use Third Generation (3G) wireless mobile technology. The research further analyze the important factors of 3G network perception and intention using the Technology Acceptance Model (TAM2) as the guiding principles with the following constructs; Perceived Ease of Use (PEOU), Perceived Usefulness (PU) and Social Influence (SI). Based on these factors, the behavioral intention to use 3G network technology services among students of developing country like Nigeria was evaluated. Stratified random sampling was used across three (3) selected departments namely Information Technology, Computer Science and Electrical and Electronics Engineering which have 459 students, 360 students and 535 students respectively to arrive at 1,354 as the total number of students in these three departments. The study made use of 309 sample size out of the students’ population from the university in the study area. Therefore, incorporating social influence construct into technology intention research. The research concluded that Perceived Ease of Use and Perceived Usefulness have positive correlation with the Behavioral Intention of students to use 3G network technology services. However, Social Influence was not found to be associated or has no positive influence on the behavioral intention of students to use 3G technology services.
Estimation of Harmonics in Microgrid using Unscented Kalman Filter

This paper recounts adoption of Unscented Kalman Filter (UKF) in micro-grid for harmonics estimation. Vigorous application of nonlinear loads due to induction of emanating power electronics technologies leads to inject harmonics into the system and hence an assessment tool is needed for its estimation and elimination. This can be achieved by several algorithms such as KF(the Kalman Filter), EKF(the Extended Kalman Filter),AKF(the Adaptive Kalman Filter) etc. have come into focus. The estimation of phase, frequency, amplitude and contents of harmonics from a noisy signal can be done by using Extended Kalman Filter(EKF). But its performance regresses whenever a highly nonlinear signal is being considered as it suffers from uncertainty because of linearization and severe calculation of Jacobean matrices. On account of this, the paper suggests an Unscented Kalman Filter(UKF) to conquer the linearization and differentiation problem of EKF for dynamic tracking of harmonics in a Micro-grid. The selection of the micro-grid model and the parameters of UKF as well as the measurement error covariance matrices Q and R is done . The algorithm is applied to a selected micro-grid model and outcomes are studied in MATLAB/SIMULINK environment.
DPAEG: A Dependency Parse-Based Adversarial Examples Generation Method for Intelligent Q&A Robots

Recently, the natural language processing- (NLP-) based intelligent question and answer (Q&A) robots have been used ubiquitously. However, the robustness and security of current Q&A robots are still unsatisfactory, e.g., a slight typo in the user’s question may cause the Q&A robot unable to return the correct answer. In this paper, we propose a fast and automatic test dataset generation method for the robustness and security evaluation of current Q&A robots, which can work in black-box scenarios and thus can be applied to a variety of different Q&A robots. Specifically, we propose a dependency parse-based adversarial examples generation (DPAEG) method for Q&A robots. DPAEG first uses the proposed dependency parse-based keywords extraction algorithm to extract keywords from a question. Then, the proposed algorithm generates adversarial words according to the extracted keywords, which include typos and words that are spelled similarly to the keywords. Finally, these adversarial words are used to generate a large number of adversarial questions. The generated adversarial questions which are similar to the original questions do not affect human’s understanding, but the Q&A robots cannot answer these adversarial questions correctly. Moreover, the proposed method works in a black-box scenario, which means it does not need the knowledge of the target Q&A robots. Experiment results show that the generated adversarial examples have a high success rate on two state-of-the-art Q&A robots, DrQA and Google Assistant. In addition, the generated adversarial examples not only affect the correct answer (top-1) returned by DrQA but also affect the top-k candidate answers returned by DrQA. The adversarial examples make the top-k candidate answers contain fewer correct answers and make the correct answers rank lower in the top-k candidate answers. The human evaluation results show that participants with different genders, ages, and mother tongues can understand the meaning of most of the generated adversarial examples, which means that the generated adversarial examples do not affect human’s understanding.
Assessing E-Business Deployment Framework for Thai SMEs:

This paper is one of series of working papers on the ‘E-Business Deployment Framework for Thai SMEs’ aka (EBDF) by the authors. Thai Small to Medium Enterprises (SMEs) play an extremely important role in the Thai economy. Over the last decade, many SMEs have added Electronic Business (e-business) to their traditional business model in an attempt to increase their competitiveness and chances of survival. In the case of Thai SMEs, e-business offers the potential of advancing directly to a world competitive basis without having to follow a traditional development path involving considerable time and expense. A notable characteristic of existing Western e-business models is their concentration on the technology of designing and implementing such models. However, a far more complex situation arises when considering the adoption of e-business by SMEs in Thailand. In response to the many potentially complex issues which arise, this study has attempted to access the applicable of the EBDF in the context of Thai restaurants in Melbourne. The EBDF was designed to address many of the issues which arise in the adoption of e-business by Thai SMEs. Unlike many existing Western e-business models, the EBDF provides an holistic model which not only addresses the technology but also addresses a range of non-technical issues associated with the adoption of e-business. Included in the range of non-technical issues considered are elements such as: complexity, trust, confidentiality, human resources, supporting infrastructure, management and finance. Six Thai restaurants classified under the SMEs category in Melbourne were participated to assess the applicable of the EBDF. This paper presents a discussion on the findings. Mixed methods approach involving observations, interviews, and document reviews to gather relevant data were employed. The observations took place in February 2013. The study also investigated the possibility of replicated, and comparative results to provide extra clarity and insight. The preliminary findings were aligned with the authors’ existing studies, and that the EBDF with some contextual modification was applicable for the Thai SMEs operating overseas.
Exchange Rate Pass-Through to Import and Consumer Prices in Nigeria: Evidence from Threshold Regression Models

The continued depreciation of the Naira exchange rate since 1986 with severe consequences for domestic inflation has raised serious concerns among monetary policy makers and researchers in Nigeria. The focus of such concerns has been on the extent of pass-through of persistent exchange rate shocks to import prices and domestic prices. Therefore, this study examined the magnitude and speed of exchange rate pass-through to import and consumer prices in Nigeria using Threshold Regression Models from 1986 to 2014. The results indicated that exchange rate pass-through to import prices is substantial and complete; while pass-through from import prices to consumer prices is low, slow in speed and incomplete; and nonlinear. As a result of the slow pace in the speed of pass-through, the effect from import prices to consumer prices dissipates along the transmission chain thereby passing only a small portion to consumer prices. This study recommends the adoption of full fledge flexible exchange rate policy and the deliberate eradication of “official parallel” foreign exchange markets such as Bureau De Change (BDC) that has served as conduit pipe for insider dealings of round-tripping and arbitrage. Without the official eradication of these “sub-official” multiple markets for foreign exchange in Nigeria there will always be a widening gap between the official and the “official parallel” market rates as well as the parallel market rate; given that policy response to rigidities in the official market are slow – a situation that permits speculations and arbitrage as a result of stickiness of the official rate.
COLONY SIZES AND NEST TREES OF MONTEZUMA OROPENDOLAS IN COSTA RICA

--I examined 36 colonies of Montezuma Oropendolas (Psarocolius montezuma) to check whether colony size was related to characteristics of nest trees. Colonies were spread over 46 trees and contained a total of 1109 nests (range 3-172 nests per colony, median 21.5). Numbers of nests in multipleand single-tree colonies were not significantly different. Thirteen species (11 dicots, 2 palms) were used as nesting trees, but 4 native species contained 82% of all nests. Above 500 m colonies in palms contained fewer nests per tree, but more trees per colony than colonies in dicot trees. At lower elevations the number of nests in palms was similar to the number in dicot trees. Six nesting trees (of 2 species) had Synoeca wasps. Trees of the same species with or without wasps had similar numbers of Oropendola
Sentiment Polarity Estimation Using Term Chunking and Numeric Phrases in Fact Sentence

In the Internet vast amount of information is created and distributed to users. Hence, many users want how to understand them at glance and one of solution is sentiment analysis. I propose a sentiment polarity dictionary construction method using word chunking and numeric phrases. To construct a polarity dictionary with less human supports the proposed system uses semi-supervised learning algorithm which constructs the dictionary using word cooccurrence frequency. I construct two types of dictionaries; a numeric phrase dictionary and a chunked nouns and adjectives dictionary. In evaluational experiments Sentences including the numeric phrases are classify into a correct polarity group and their precision achieve about 88%. Combining method with a numeric phrase dictionary and a polarity dictionary improves 4% with respect to the precision.
A Review on Edge Detection Techniques for Image Segmentation

© 2017 IJRRA All Rights Reserved page-339 Abstract— Image segmentation is the process of subdividing an image into constituent parts or objects in the image. Segmentation is either discontinuity based or region based. Edge detection is the discontinuity based image segmentation technique. In this paper, diverse Edge Detection techniques like Canny Optimal Edge Detection, Sobel Operator, Prewitt Operator and LoG are reviewed, compared and analyzed based on the performance metrics Performance Ratio(PR), Peak signal-to-noise ratio(PSNR), Mean square error(MSE). From the results, Canny Optimal Edge detection (COE) technique provides identifies the edges effectively for noisy and complex images when compared to other techniques
Transfunctions and their connections to Plans, Markov Operators and Optimal Transport.

A transfunction is a function which maps between sets of finite measures on measurable spaces. In this paper we characterize transfunctions that correspond to Markov operators and to plans; such a transfunction will contain the "instructions" common to several Markov operators and plans. We also define the adjoint of transfunctions in two settings and provide conditions for existence of adjoints. Finally, we develop approximations of identity in each setting and use them to approximate weakly-continuous transfunctions with simple transfunctions; one of these results can be applied to some optimal transport problems to approximate the optimal cost with simple Markov transfunctions.
Antecedents and Outcomes of Innovativeness

The extent of firms’ innovativeness (i.e., capacity of innovate) has been regarded one of the critical components for the success of firms. However, relatively little is known about the drivers of innovativeness and how those drivers operate via organizational innovativeness to influence firm performances. The roles of organizations’ key strategic orientations, i.e., customer orientation, competitor orientation, technology orientation, and internal/cost orientation, were examined as antecedents of innovativeness. Additionally, the relationships from innovativeness to firm performances were investigated in order to clarify the conflicts of previous studies, i.e., from firms’ innovativeness through customer satisfaction and market adaptability to firms’ profitability. The findings showed the effects of customer orientation, competitor orientation, and technology orientation through innovativeness on firm performances. Interesting implications were presented especially regarding multiple roles of strategic orientations on organizational innovativeness and performances, along with limitations and some future research directions.
Gender Classification using the Gaze Distributions of Observers on Privacy-protected Training Images

: We propose a method for classifying the gender of pedestrians using a classiﬁer trained by images containing privacy-protection of the head region. Recently, manipulated training images containing pedestrians have been required to protect the privacy of pedestrians. In particular, the head regions of the training images are manipulated. However, the accuracy of gender classiﬁcation decreases when privacy-protected training images are directly used. To overcome this issue, we aim to use the human visual ability to correctly discriminate males from females even though the head regions have been manipulated. We measure the gaze distributions of observers who view pedestrian images and use them to pre-process gender classiﬁers. The experimental results show that our method using gaze distribution improved the accuracy of gender classiﬁcation when the head regions of the training images have been manipulated with masking, pixelization, and blur for privacy-protection.
An examination of the effects of some factors on behavioral intentions (A new model)

The purpose of this paper is to construct a new model for factors that affect consumer behavioral intentions in a shopping center context in Shiraz (Iran). Data were gathered at three large shopping centers in Shiraz (Refah, Fajr and Zeitoon shopping centers). The data were collected over a two-week period in these shopping centers. From the 647 returned questionnaires, 592 usable responses were analyzed. The measures were subjected to confirmatory factor analysis to examine the reliability and validity of the hypothesized model. The results revealed that: customer satisfaction most influenced by perceived value; customer satisfaction positively influenced positive attitude, trust and adjusted expectations; trust and adjusted expectations positively affected positive attitude. Finally the findings indicate that behavioral intentions most influenced by positive attitude.
A condition for Hamiltonicity in Sparse Random Graphs with a Fixed Degree Sequence

We consider the random graph $G_{n, {\bf d}}$ chosen uniformly at random from the set of all graphs with a given sparse degree sequence ${\bf d}$. We assume ${\bf d}$ has minimum degree at least 4, at most a power law tail, and place one more condition on its tail. For $k\ge 2$ define $\beta_k(G) = \max e(A, B) + k(|A|-|B|) - d(A)$, with the maximum taken over disjoint vertex sets $A, B$. It is shown that the problem of determining if $G_{n, {\bf d}}$ contains a Hamilton cycle reduces to calculating $\beta_2(G_{n, {\bf d}})$. If $k\ge 2$ and $\delta\ge k+2$, the problem of determining if $G_{n, {\bf d}}$ contains a $k$-factor reduces to calculating $\beta_k(G_{n, {\bf d}})$.
WEED DIVERSITY IN CORN WITH DIFFERENT PLANT ARRANGEMENT PATTERNS GROWN ALONE AND INTERCROPPED WITH PALISADE GRASS

Composition and level of weed infestation interfere with crop yield and increase production costs. This study aimed to identify weed composition and infestation in corn grown with different plant populations, single, and intercropped with palisade grass. The phytosociological method was used to evaluate density, frequency, dominance, and infestation level of weeds in single and intercropped corn, a with conventional (0.90 m) and reduced (0.45 m) spacing, and low and high plant population in Dourados, MS, Brazil. Commelina benghalensis, Echinochloa spp. , and Euphorbia heterophylla were the species most found in the treatments. Single corn with higher plant population decreased weed occurrence. Treatments with palisade grass under a reduced spacing showed lower absolute weed infestation (about 75%) when compared to single corn. Weed infestation was lower in the intercropping of corn with palisade grass, with more pronounced effect under a reduced spacing.
Obesity-associated Hypertension among Primary School Children in Sarawak: A Cross-sectional Study

Hipertensi merupakan isu kesihatan awam yang penting yang memberi kesan ke atas populasi kanak-kanak. Tujuan kajian ini adalah untuk menentukan prevalens tekanan darah tinggi dan kaitannya dengan obesiti di kalangan kanak-kanak berumur 6-12 tahun di divisyen Kuching, Sarawak. Ia merupakan kajian keratan rentas menggunakan persampelan rawak berlapis. Data dikumpulkan menggunakan alat antropometrik dan monitor tekan darah digital. Data dianalisa menggunakan SPSS versi 20. Sejumlah 1314 responden mengambil bahagian. Sejumlah 36.9% dari jumlah sampel didapati mempunyai berat badan berlebihan dan obes, 31% mempunyai lemak yang lebih dan obes, 29% mempunyai ukur lilit pinggang yang abnormal dan 32.8% mempunyai ratio pinggang-tinggi yang abnormal. Sebanyak 22.1% responden didapati berada dalam peringkat pra tekanan darah tinggi dan tekanan darah tinggi. Terdapat perbezaan signifikan antara lelaki dan perempuan dalam berat badan berlebihan dan obes, lemak badan yang berlebihan dan obes dan ratio pinggang-tinggi. Pribumi Sarawak didapati mempunyai risiko yang paling tinggi dalam penyakit darah tinggi, dan paling ramai dalam berat badan dan lemak badan yang berlebihan dan obes, dan juga ukur lilit pinggang dan ratio pinggangtinggi yang abnormal. Bagi mereka yang mempunyai penyakit darah tinggi, mereka didapati mempunyai berat badan dan lemak badan yang berlebihan dan obes, dan juga ukur lilit pinggang dan ratio pinggang-tinggi yang abnormal. Pemeriksaan untuk faktor risiko yang berpotensi harus dijalankan di peringkat umur yang muda untuk mengurangkan masalah penyakit kronik di dewasa. Ukuran tekanan darah harus dilakukan dalam pemeriksaan fizikal rutin untuk mengenalpasti kanak-kanak yang berisiko tinggi untuk rujukan selanjutnya.
No-regret Learning in Cournot Games

This paper examines the convergence of no-regret learning in Cournot games with continuous actions. Cournot games are the essential model for many socio-economic systems, where players compete by strategically setting their output quantity. We assume that players do not have full information of the game and thus cannot pre-compute a Nash equilibrium. Two types of feedback are considered: one is bandit feedback and the other is gradient feedback. To study the convergence of the induced sequence of play, we introduce the notion of convergence in measure, and show that the players' actual sequence of action converges to the unique Nash equilibrium. In addition, our results naturally extend the no-regret learning algorithms' time-average regret bounds to obtain the final-iteration convergence rates. Together, our work presents significantly sharper convergence results for learning in games without strong assumptions on game property (e.g., monotonicity) and shows how exploiting the game information feedback can influence the convergence rates.
The Judicialization of the Municipal Electoral Competition in Brazil: A Study on Supplementary Elections from 2004 to 2018

This study has the main objective of verifying the presupposition of Marchetti (2013) that the recent electoral competition that is marked by the judicialization also applies to the scope of the supplementary elections. The main hypothesis of the work is that the judicialization of municipal electoral competition has become an additional strategy used by political actors because of its effectiveness. The results indicate that approximately 58% of the Supplementary Elections that occurred in the period were motivated solely by lawsuits filed by opposition political groups. In these cases, the opposition can elect the new mayors in 62% of situations.
Automatic blob-based Glistening Detection

When the IOL is in an aqueous environment, fluidfilled microvacuoles are form within an IOL, called glistenings. Due to glistenings can affect human vision, this work proposes the novel method which can automatic glistening detection based on blob detection. The proposed method can detect glistening from IOL image. The result showed accuracy is 98.01% and sensitivity is 72.67%. Keywords—Glistening detection; Medical image processing.
A New Seven Degrees-of-Freedom Parallel Robot With a Foldable Platform

This paper presents a new parallel robot with an integrated gripper. The grasping capability of the robot is obtained by a foldable platform that can be fully controlled by actuators located on the base of the seven degrees of freedom (DoF) parallel structure. This mechanism combines three key speciﬁcities in robotics which are: compactness, rigidity, and high blocking forces. The paper presents the new structure, its kinematic modeling and an analysis of its workspace and grasping force capabilities. In addition, a prototype is presented and tested in manipulation and insertion operations, which validates the proposed concept.