Reviewerly/exHarmony huggingface dataset:
An Authentication Scheme for Distributed Computing Environment

In this era of information technology, the protection of personal sensitive information is one of the most challenging tasks which will not allow any human being to escape from browsing, sharing and holding information. In this scenario different service provider offers services for its users to share their personal sensitive information, resources and identity via distributed network. And attackers can easily pick this information from the open network due to lack of cross verification of the legality of peers. Almost no researcher claims with conviction about a foolproof secure authentication scheme for the said environment. In this regard, a robust authentication scheme is presented for the distributed computing environment which not only offers a secure cross verification of user validity but can also protect personal sensitive information and secure sharing of associated resources. The performance and security analysis at the end of this paper shows that the scheme is best among all available in the recent literature. All the narratives show that the scheme can easily be implemented in the recent era for the said purpose.
Hierarchical product quantization for effective feature indexing

Feature indexing is a critical technique for addressing real-time image matching and retrieval. In this work, we propose a novel quantization method that is capable of creating highly accurate quantized codes for a given feature database. Differing from many quantization techniques in the literature (typically, product quantization based methods), the proposed method is designed to reshape the feature vectors so that close points are placed into a small sub-space. To this aim, a hierarchical product quantization method is presented. In its essence, the first level of quantization aims at reordering the dimensions so as to exploit better the correlation among subspaces. The second level of quantization is then invoked to create a sub-quantizer for the points contained in each sub-space. To validate the proposed method, various experiments have been conducted, demonstrating quite impressive performance when compared with other state-of-the-art methods.
Annotation of medical images using integral images and Gabor coefficients

Image annotation is one of the aspects of automatic classification algorithms. In this paper, we propose a learning-based algorithm for automatic medical image annotation based on local appearance cues by using integral images, Gabor transforms, AdaBoost and support vector machine (SVM) classification algorithm. The algorithm starts with a number of landmarks. By landmarks, we generate special sub-patches and extract features using Gabor transforms. In fact, Gabor filter is applied to integral image. AdaBoost in most cases can make a decision about the instances at this stage. To solve the misclassified cases, we combine similar classes and employ SVM/AdaBoost to recognise close instances. This approach is evaluated on large-scale radiograph images and several experiments have been done. At first, we specify five classes with the most number of images in ImageCLEF2008. Then, the proposed method is used for position identification task. At the end, our approach achieved the acceptable accuracies for multiclass radiograph annotation task, when compared to other algorithms. We obtain the accuracy of 95% for multiclass radiograph annotation and >99% for position identification task.
The Impact of Client Involvement towards Agile Project Success in Sri Lankan Software Industry

During the recent past, the software industry in Sri Lanka has developed rapidly. Every company that implements software products has the goal to deliver a quality product to the client. To achieve that goal, software companies use different processes, technologies and methods. Agile software development methodology has gained wide acceptance due to its flexibility and client involvement; Agile software development plan and process are inline according to the client's desires and expectations. Hence one of the main factors for the success of an Agile project is the active client participation. Sri Lankan software industry heavily relies on outsourced projects where the client is often not physically present with the dev team. In this research, the client involvement level was examined in Sri Lankan software companies to evaluate its contribution to the success of Agile projects. The research further discusses the organizational culture to be maintained and how it contributes to having a better client relationship. The finding of the research will be beneficial for Sri Lankan software development companies to deliver successful software products.
A Comparison between Practical Arts Education and Other Subjects in the 2015 Revised National Curriculum

이 연구의 목적은 2015 실과교육과정의 가정생활분야와 다른 교과 교육과정의 내용체계와 성취기준, 학습요소 등의 중복성을 분석하는데 있다. 중복성 분석 결과, 첫째, 실과교과 가정 생활분야의 내용체계에 제시된 핵심개념과 내용요소를 기준으로 다른 교과의 핵심개념과 내용요소를 분석한 결과 핵심개념 ‘발달’은 체육교과의 핵심개념과 내용요소에 중복되는 부분이 있었으며, ‘관계’는 사회과와 바른생활, 슬기로운생활, 즐거운생활의 핵심개념 및 내용요소에 중복되는 부분이 있었다. ‘생활문화’는 사회교과의 핵심개념과 내용요소, ‘안전’은 체육과 과학 교과의 핵심개념과 내용요소에서 찾을 수 있었다. ‘관리’는 도덕교과와 즐거운생활에서, ‘생애설계’는 사회교과와 바른생활에서 중복요소를 찾을 수 있었다. 둘째, 실과교과의 성취기준과 학습요소의 중복요소를 분석한 결과 인간발달과 가족영역, 자원관리와 자립영역의 성취기준과 학습요소에서 중복되는 교과를 찾을 수 있었으나 생활문화와 안전영역의 성취기준과 학습요소는 중복되는 부분을 찾을 수 없었다. 인간발달과 가족 영역은 슬기로운생활, 즐거운생활, 사회, 도덕, 체육교과의 성취기준과 중복이 되었으며 바른생활, 슬기로운생활, 즐거운생활과 사 회교과의 학습요소와 중복이 되는 요소들이 있었다. 자원관리와 자립은 즐거운생활, 슬기로운 생활, 도덕, 사회교과의 성취기준과 중복되었으며, 바른생활과 즐거운생활, 사회교과의 학습요소가 중복되는 것으로 나타났다. 교육과정의 중복성이 가지고 있는 문제는 교과의 정체성에 혼동을 가져올 수 있다. 그러므로 교과의 철학을 반영하여 차별화된 용어의 선택이나 구분이 필요하다.The purpose of this study was to compare the contents, achievement standards, and learning elements especially in family life between practical arts and other subjects in the 2015 Revised National Curriculum. First, this study analyzed the key-concept of family life in practical arts and in other subjects. The key concept development overlapped with the key concept and content element in physical education. The key concept ‘relation’ overlapped with the key concept and content element in social studies, moral life, inquiring life and pleasant life. The key concept ‘living culture’ overlapped with the key concept and content element in social studies. The key concept ‘safety’ overlapped with the key-concept and content element in physical education and science. The key concept ‘Management’ overlapped with the key concept and content element in moral educaion and pleasant life. The key concept ‘Life planning’ overlapped with the keyconcept and content element in physical education and moral life. Second, we found that the achievement standards and learning element of moral life, inquiring life, pleasant life, moral education, social studies and physical education were overlapped with practical arts education. ‘Human development and Family’ and ‘Resource management and self-reliance’ are the duplication of the achievement standards and learning element. ‘Life culture and safety’ is not the duplication of the achievement standards and learning element. The problem with the duplication of the curriculum could be confusing to the speciality of the subject. Therefore, it is necessary to select or distinguish differentiated terms by reflecting the philosophy of the subject.
Power audit: an estimation model-based tool as a support for monitoring power consumption in a distributed network infrastructure

Understanding the details of power consumption in IT distributed infrastructure has become essential to make efficient power management decisions. Indeed, increasingly, energy costs are a major factor in the total cost of ownership (TCO) of IT equipments of both data centres and enterprise computing. However, measuring and monitoring the power consumption of systems in medium-scale to large-scale distributed infrastructures is often difficult due to large and dispersed deployment of heterogeneous equipments such as personal computers (PCs), routers, switches, printers, etc. The various aspects discussed in this study are then organised around: 1) proposing an approach for measuring power consumption of devices in distributed infrastructure, especially for computers as a first step; 2) collecting the measures on the monitoring server through the network in a supervisory objective using simple network management protocol (SNMP). We have designed and developed software named 'power audit' as support of the above aspects.
Analysis and ways to improve the quality of preparing students for the Unified State Exam in Geography

The article presents an analysis of the preparation of schoolchild for the unified state exam in geography, which is a form of final certification and entrance test for admission to the University, differentiating students according to the level of training of graduates. In addition, the results of the exam, allow to identify new educational routes: to clarify the content of training programs and the correspondence of educational literature, etc. The study was carried out on the basis of statistical and analytical materials on the results of the exam in geography, presented by the Federal Institute of pedagogical measurements and regional centers of information processing, and institutes for the development of education of subjects. The analysis was subject to such main results as the number and proportion of participants in the exam, the average score of the examination work, the number of participants who scored the maximum test score, and did not overcome the minimum threshold in the period from 2013 to 2018. The combined results of the early, basic and additional exam period were taken into account. In the study of the main results of the exam in geography in the regions of the Siberian Federal district revealed a direct correlation between the relevance of the results of the exam in geography in the universities and the statistical indicators of the results of the exam. Groups of regions with high and low level of development of geographical education are allocated. Certain solutions that contribute to improving the level of geographical education in terms of the main results of the exam. One of the main ways to improve the quality of preparation for the exam in geography is the popularization of science, the adoption of the Concept of geographical education (developed by the Russian geographical society), as well as the revision and specification of examination papers, textbooks, organization of forms of preparation available to schoolchild for the exam in schools.
Truncation of Non-Calibrated 3D Image for Occulation Recovery

Uncalibrated stereo image rectification, a pair of two images having different focal length /image resolution apprehended by using a amalgamation of dynamic and static cameras which are at unequal zoom. Uncalibrated rectification between the left and the right images of stereo pairs is usually accomplished on the basis of a number of equated feature points. Here we have speeded up robust feature (SURF) points for the process of uncalibrated stereo rectification. Where these feature points assists to improve the reconstruction efficiency and reduce the computational time.The rectification of stereo images is done by making a composite image and selecting SURF feature points in them and getting putatively matched points by satisfying epipolar constrains, which results in anaglyph (stereoscopic) 3D image which can be viewed using 3D Anachrome glasses. So the equated accuracy and robustness of feature point descriptors is important for 3-D reconstruction and surgical scene reconstruction.
Barriers to High School Learners’ Online Information Behaviour in Ghana

The Internet has provided many opportunities for learners to access online information to expand their knowledge at a fast pace. Ghana, as one among many other developing countries, has tried to create Internet access and usage among high school learners; however, a number of factors have hampered this process. The study therefore investigates the barriers to high school learners’ online information behaviour in Ghana. Through a survey design, the study employed a mixed-methods approach to look into this phenomenon. A total of 350 participants comprising Grade 12 learners, heads of ICT departments (HICTDs), ICT teachers and librarians from three high schools were included in the study. Learners were sampled through the use of simple random and stratified sampling techniques. All heads of ICT departments, ICT teachers, and librarians were included in the study due to their small number and hence there was no need for selection. A semi-structured interview schedule and questionnaire were used as data collection tools to solicit responses from the participants. The study revealed that a lack of adequate Internet infrastructure at schools is a major barrier to high school learners’ online information behaviour. The study recommends the need to improve the Internet infrastructure at schools.
Tuning parameters via a new rapid, accurate and parameter-less method using meta-learning

Dealing with a large parameter space in data mining tasks is extremely time-consuming, and the tuning method itself needs to be tuned since methods themselves have at least one parameter. Here, a new rapid and parameter-less method is presented to tune algorithms on diverse datasets to achieve high quality results in a short consumed time. The method presented here uses a pre-knowledge by using meta-features to guess closer point to optimal point in parameter space of target algorithms (here, support vector machine algorithm is used). For preparing the pre-knowledge, 282 meta-features are introduced and then genetic algorithm is applied to determine best meta-features for the target algorithm. Then the best meta-features are used to tune the target algorithm on unseen datasets. The results show in less than 0.19 minute in average, the method obtains approximately the same classification rates in comparison with others, but the consumed time is dramatically declined.
Teletrabalho na Agência Nacional de Vigilância Sanitária e a inovação na anuência de importação de produtos para saúde

Introduction: The insertion of teleworking for the import process of medical devices, brought innovation to all actors involved in this process. The improvement in the quality of life of the patients, added to the centralized monitoring of the processes, were points sought by the management. Method: We used the trimesters from 03/01/2018 to 08/31/2018, when the harmonizations and operational procedures were already in force at the Virtual Post. We made a comparative analysis based on parameters inherent to the flow of importation of health products, such as: deadline of the analysis of the importation process and qualification of the reasons of non-compliance in the importation processes (product irregularity or procedural instruction error) to show the main results achieved in telecommuting. Objective: The purpose of this report is to show the main results achieved in teleworking, from 01/03/2018 to 08/31/2018, through the evaluation of indicators of the analysis period and the quality of the instruction of the import processes. Results: The centralization of the consenting parties in teleworking sought as a result harmonizing the consent procedures as well as guaranteeing to those involved the predictability of the analysis of the import processes; a productivity increase that was beneficial to Anvisa’s efficiency was also sought. As a result, predictability was the most representative. The centralization of the processes in a virtual post, managed by a leader, has brought significant results regarding the harmonization and the possibility of data extraction. Conclusions: The extremely positive results of the survey brought other issues; it was verified that the constant improvement in the process is necessary. It is also necessary to formalize the import as an effective control of pre-market, using these data to guide sectoral policies.
Mobile agent and ontology approach for web service discovery using QoS

Web services are meaningful only if potential users may find and execute them. Universal Description Discovery and Integration (UDDI) help businesses, organisations, and other web services providers to discover and reach to the service(s) by providing the URI of the WSDL file. However, it does not offer a mechanism to choose a web service based on its quality. The standard also lacks sufficient semantic description in the content of web services, this lack makes it difficult to find and compose suitable web services during analysis, search, and matching processes. In addition, a central UDDI suffers from one centralised point problem and the high cost of maintenance. To get around these problems, the authors propose in this paper a novel framework based on mobile agent, metadata catalogue and user profile for web services discovery in order to reduce the search space and increase the number of relevant services.
Feature selection for face authentication systems: feature space reductionism and QPSO

In face authentication systems, the feature selection (FS) process is very important because any feature extractor introduces some irrelevant or noisy features. These features can affect in the performance of such systems. In this paper, a new method is proposed to reduce the computations time in the facial feature selection. Quantum Fourier transforms (QFT), discrete wavelet transform (DWT). Discrete cosine transform (DCT) and scale invariant feature transform (SIFT) are employed separately as features' extractors. The proposed algorithm denoted by FSR_QPSO has two phases: feature space reductionism (FSR) and optimal feature selection based on quantum particle swarm optimisation (QPSO). FSR reduces the size of the feature matrix by selecting the best vectors (rows) and rejects the worst. Then QPSO is applied to fetch the optimal features set over the reduced space that contains the best vectors only. The proposed algorithm has been tested on ORL and Face94 databases. The experimental results show that the proposed algorithm reduces feature selection time against the case of using complete feature space.
Analysing sentiments based on multi feature combination with supervised learning

Researches on sentiment analysis are growing to a great extent and attracting wide ranges of attention from academics and industries as well. Feature generation and selection are consequent for text mining as the high dimensional feature set can affect the performance of sentiment analysis. This paper exhibits the efficacy of the proposed combined feature selection technique on machine learning classification algorithms over their individual usefulness. Initially, we transform the review datasets into the feature vector of unigram features along with bi-tagged features based on POS pattern. Next, information gain (IG), Chi squared (χ2) and minimum redundancy maximum relevancy (mRMR) feature selection methods are applied to obtain an optimal feature subset for further functionality. These features are then given input to multiple machine learning classifiers, namely, support vector machine (SVM), multinomial Naïve Bayes (MNB), Bernoulli Naïve Bayes (BNB) and logistic regression (LR) on multi domain product review datasets. The performance of the algorithm is measured by evaluation methods such as precision, recall, and F-measure. Experimental results show that the feature selection method mRMR with SVM achieved a better accuracy of 91.39, which is encouraging and comparable to the related research.
Inventory routing optimisation using differential evolution with feasibility checking and local search

The inventory routing problem (IRP) is to minimise inventory and transportation costs simultaneously for increasing profitability of the system. However, the two costs are conflicting in most case and hard to solve. As a promising evolutionary algorithm, differential evolution (DE) has been successfully applied to solve many real-world optimisation problems, but we found that it is not used to optimise the IRP. In this paper, for the first time, we utilise the DE algorithm to optimise the one-to-many IRP (DEIR) where a product is shipped from supplier to a set of retailers over a planning period. In the proposed DEIR algorithm, the solution feasible checking method, the local search method and the optimal routing method based on DE are designed to suit the IRP solving. The computational tests have been conducted on 50 benchmark instances. Experimental results and comparison with different parameter settings have proved that the proposed algorithm is competitive.
The influence of organizational and individual factors on organizational Innovation with moderating role of Innovation orientation

This study examines the influence of innovation factors (process innovativeness, behavioural innovations, strategic innovativeness) and organisational factors (organisational rewards, top management support) on organisation innovation. The present study extends the organisation innovation model and outlined moderating effect of innovation orientation between organisation innovation and organisation performance. For data analysis, structural equation modelling (SEM) was used. Findings showed that altogether behavioural innovativeness, process innovativeness, strategic innovativeness, top management support, organisational rewards, enjoyment and knowledge self-efficacy explained R2 79.3% variance in organisational innovation. The predictive relevance Q2 of the model was checked. Results of the blindfolding procedure revealed that organisation innovation had Q2 0.579 which is substantial. Effect size analysis (f2) revealed that enjoyment in helping others and organisation innovation were the most important factors to determine organisation performance. Practically, this study suggested that managers need to focus on organisation innovation and strategic innovativeness factors in order to enhance the organisation performance.
Integrating Knowledge Management Enablers and Processes for Improved Organizational Performance

This paper examines a framework between different knowledge management enablers (KMEs), knowledge management (KM) processes and organisational performance. Forty-six KMEs are selected from literature and experts' opinion from industry and academia. Further, these 46 KMEs are grouped into six major constructs. These KMEs supports the socialisation, externalisation, combination, internalisation (SECI) KM processes and organisational performance (operational performance, financial performance and customer satisfaction). The postal survey methodology is used to collect the data from Indian manufacturing organisations. The collected survey data was analysed for the construct, content, criterion-related validation and reliability analysis. Additionally, structural equation modelling (SEM) is used to test the relationship between KMEs, SECI KM process and organisational performance. The finding suggests positive relationship exists between KMEs, SECI KM process and organisational performance. The successful KMEs implementation improves the SECI KM processes which enhance the organisational performance.
A systematic literature review ofLean Six Sigma in financial services: Key finding and analysis

The paper intends to analyse the impact of LSS in financial services through systematic literature review and identify current research gaps. It focuses more on exploring the different concepts in the area of financial services by performing a systematic literature review along with data visualisation techniques. The literature review of articles that are published in peer-reviewed scholarly journals from 1993 to 2017 was collected for performing the content analysis. Based, on the descriptive analysis performed on the collected materials, many results about the articles trend in the selected areas were found. Further, the content analysis revealed many research inferences like the role of e-banking, success factors, barriers in the context of LSS. Further, proposed work for future researchers in this field. The paper presents a systematic and unique application to detect the various opportunities for LSS in the financial domain.