Miracle-dz/UniFAR-FTUs huggingface dataset:
Glucose Monitoring Technologies and Challenges: An Update

The innovation of glucometer has set a benchmark to restrain the effects of diabetes. Diabetes is a scourging metabolic disorder, responsible for disabilities and anachronistic deaths among mass populations. The hyperglycemic condition creates physiological and psychological sufferings to the patients. These complications have led to drastic evolvement in the diabetes diagnostic technologies. The pioneer work in the field of glucose monitoring devices started with the development of blood-based sensing practices, extensively used by the patients but it is an invasive technique which induces trouble in the subjects. Thus, a non-invasive, painless method of glucose testing is a new advancement in the range of glucometers and would profoundly increase the compliance and overcome complications. Saliva-based glucometers is a non-invasive approach, has the potential to exceptionally overcome the discomfort brought up by the blood-based invasive methods. The objective of presenting this review is to provide the chronological series of events in the identification of the disease along with the technological advancements in the glucose monitoring devices.
Cluster as a Service (CaaS) in Secure Deduplication System

Data deduplication is one of compression method of data for eliminating duplicate copies of repeating data that is mainly used to reduced the amount of storage space and bandwidth. Cloud computing systems have been made possible through the use of large –scale clusters,service –oriented architecture (SOA),web services ad virtualization.While the idea offering resources via web services is common place in cloud computing ,little attention has been paid to clients themselves specifically ,human operators.Despite that clouds host a variety of resources which in turn are accessible to variety of clients ,support for human users is minimal . To provide better security ,this paper makes the first attempt to formally address the problem of authentication ,integrity and availability.By using Tag generation , moreover one of additional cloud storage service such that Cluster as a Service (CaaS) can make secure deduplication possible and reduced cloud storage space.With out key generation ,attribute based encryption makes secure data deduplication in the cluster of computers.
Design and implementation of an automated workflow to provide a zoomable web mapping application using artistic styles

Although proprietary and free web map applications have become an important part of the daily life, individual map styling has been neglected for a fairly long time. With the latest possibilities of custom adjustment provided by many services and some interesting artistic experiments, this is about to change. In the context of artistic cartography and custom map styling, this work explores the possibilities of employing an automated process for the generation of WMTS compatible map tiles with an artistic styling. Web mapping standards and techniques of non-photorealistic rendering (NPR) are considered as well as traditional cartographic representations. Furthermore, existing vectorand raster-based processes are analyzed including an interactive workflow with the open-source image editing software GIMP, which is examined with respect to its drawing capabilities. Based on that, a concept for an automated rendering process is developed and influencing factors along with input parameters are discussed. An experimental automated processing is implemented using GIMP and its Python scripting interface to create single maps and seamless map tiles for the use in a WMTS application. Different drawing techniques of GIMP like brushes, dynamics and masks are applied during the rendering process. Geodata is taken from the freely available OpenStreetMap project and it is stored in a geodatabase. Furthermore, the GIS capabilities of the database are used to implement custom query procedures for the creation of seamless tiles, feature simplification and generalization that makes a preprocessing of the data unnecessary. Additionally randomization methods for the estrangement and abstraction of its geometry to emulate a hand-drawn appearance are created and tested based on SVG vector graphics and non-photorealistic rendering techniques. The rendering and abstraction results are evaluated and discussed regarding their contribution to an artistic appearance. The generated tiles are generated in a WMTS compatible way and presented in a web mapping application.
Vers une géopolitique de l’énergie plus complexe ?

Cette etude cherche a analyser trois enjeux au coeur de la transition vers les energies renouvelables (ENR): (1) l’importance des materiaux necessaires a la production des technologies des ENR ; (2) les dynamiques d’innovation dans ces technologies et le role qu’elles conferent aux regles de la propriete intellectuelle ; (3) les interactions entre la transition energetique et les economies exportatrices de combustibles fossiles. Ces trois sous-systemes interagissent au sein du systeme plus large que constitue la geopolitique des energies renouvelables. Les interactions entre ces differentes dimensions s’averent essentielles a analyser dans le cadre de la cooperation internationale pour la lutte contre le changement climatique et pour comprendre les futurs jalons d’un nouvel ordre energetique mondial. L’originalite de ce travail est de demontrer que l’analyse de la transition energetique ne doit pas se restreindre aux liens entre les politiques climatiques, l’innovation et le deploiement des ENR. Une vision plus large est necessaire pour prendre en compte dans un premier temps les retroactions negatives du deploiement des ENR via les secteurs des hydrocarbures et des metaux. D’autre part, il convient d’analyser de plus pres la retroaction de l’innovation sur les politiques climatiques pour s’assurer qu’une boucle positive se forme. Trois conclusions peuvent etre tirees de ce travail au niveau national ou international en matiere de politiques publiques : - Les pouvoirs de marche des pays producteurs des materiaux de la transition energetique risquent de s’accentuer dans les annees a venir et les politiques de recyclage pourraient permettre de reduire le cout de la transition energetique ; - Les politiques climatiques doivent s’assurer que les droits de propriete intellectuelle ne deviennent pas un point de blocage de la negociation climatique ; - La diversification des economies productrices d’hydrocarbures est determinante pour le deploiement des ENR et, plus largement, sur le rythme et les modalites de la transition energetique au niveau global. En definitive, dans un contexte de generalisation des technologies bas-carbone,
A New Measure for Analysing Accelerometer Data towards Developing Efficient Road Defect Profiling Systems

Aims: In this paper, we propose a new measure for analysing data obtained from an accelerometer with the aim of improving road surface condition monitoring and defect detection systems. Study Design: The study consisted of an experimental setup involving the use of an Original Research Article Bello-Salau et al.; JSRR, 7(2): 108-116, 2015; Article no.JSRR. 2015.192 109 accelerometer embedded device connected to a laptop, all mounted in a vehicle for data acquisition and storage. Place and Duration of Study: Data gathering was conducted within the campus of the Federal University of Technology, Minna, for a period of two months. Methodology: The accelerometer was programmed to capture vibration signals along the x, y and z-axis with special interest in the z-axis because it monitors the up/down motion of the vehicle. Our algorithm uses what we call the “z-difference square” measure to analyse raw accelerometer data towards improving road defect detection. LABVIEW was used to configure the accelerometer device, while the algorithm for post data processing and statistical analyses were implemented in MATLAB. Results: Inferences drawn from the raw data and other statistical measures indicate that the proposed measure provides the advantage of using single threshold values for detection, inherent averaging, and potential for spatial localization of potholes, as compared to other statistical measures. Conclusion: The use of our proposed “z-difference square” measure for analysing accelerometer data will provide a simple yet efficient and effective statistical measure for improving road defect detection systems.
Technology, open learning, and distance education

This work provides a guide for policy-makers, education and training planners, senior education administrators, and teachers and trainers regarding the selection and use of modern technologies for open and flexible learning. It provides a practical decision-making framework, analyzing the strengths and weaknesses of each technology, and offering a comprehensive comparative cost analysis for each. The book ends with a vision of technology-based open learning for the 21st century.
Prediction of Reviews Rating: A Survey of Methods, Techniques and Hybrid Architectures

: In the last recent years, the customer reviews has attracted an increasing interest by researchers and companies thanks to the advancement in E - commerce and business applications. The ability to successfully decide whether a review will be helpful to other customers and thus give the product more exposure is vital to companies that support these reviews, companies like Google, Amazon and Yelp! The problem is that some customers are giving rating in conflict with their comments obliging other reviewers to read the comments to understand the reason of this contradiction. Sentiment analysis is the process of automatically identifying opinions expressed in text on certain subjects. The accuracy of sentiment analysis has a direct effect on decision making in both business and government. Also, recommender system is one of the hot topics in the field of big data, especially with the development and growth of the World Wide Web. This paper presents a survey covering the methods in the field of reviews rating prediction. We also propose a hybrid architecture that combines techniques from sentiment analysis and recommender systems fields, to develop a solution that has the ability to predict rating of products while taking into consideration the analysis of sentiments included in the products reviews. Subject Categories and Descriptors
Los colores como claves perceptivas durante la lectura

En español, como en muchas otras ortografías, las palabras escritas están diferenciadas unas de otras mediante la inserción de espacios. El hecho de que haya lenguas que no utilizan espacios, y que añadirlos no mejore la lectura en dichas lenguas (v.g., en thai), relativiza la importancia de los espacios entre palabras. Experimentos recientes en nuestro laboratorio han mostrado que la segmentación perceptiva de las palabras puede conseguirse fácilmente alternando el color de las mismas, sin necesidad de espacios. Ello lleva a reexaminar el papel de los colores en el aprendizaje de la lectura.
The spherical simplex unscented transformation

This paper describes a new and better-behaved sigma point selection strategy for the unscented transformation (UT). The UT approximates the result of applying a specified nonlinear transformation to a given mean and covariance estimate. The UT works by constructing a set of points, referred to as sigma points, which have the same known statistics as the given estimate. This paper describes a sigma point selection strategy that requires, for n dimensions, n+2 sigma points; and n+1 of these points lie on a hypersphere whose radius is proportional to /spl radic/n. The weights on each point are proportional to 1/n. We illustrate the algorithm through an example which uses simultaneous localisation and map building.
Task-Dependent Configuration of Robotics Systems

To solve a task, a robotics system uses several different hardware and software components. Each of these components solves a specific subtask to allow the overall task to be solved. Thus, the proper selection of the set of components is crucial for the success of performing a task. This selection can become complex if one needs to consider that each of these components has its own dependencies which need to be fulfilled to work properly. Due to this complexity, the proper selection of components is time-consuming and error prone. Additionally, domain knowledge is necessary to consider all dependencies correctly. To proper choose the components without the need of a domain expert one can follow a model based approach. In this paper, we show how such a model-based approach can be used. We present a tool that, based on a domain model, automatizes the selection of the necessary components to implement a set of given tasks. Due to this automatic selection mechanism, one can either simply check if a robotic system can perform a task or which components need to be added to allow the robot to perform the given task.
Convolutional Encoder using Reversible Logic Circuits

- Low power design is the important issue in VLSI design. Reversible logic circuit is one of the techniques receiving attention of researchers for low power VLSI design. In this technique logical reversibility is achieved using reversible logic gates. Convolutional encoder is widely used in digital systems for error correction. And hence attempt is made to design a convolutional encoder using reversible logic circuit. In this paper exhaustive study and implementation of convolutional encoder and decoder using reversible logic circuit using GDI (gate diffusion input) technique is presented.
Experimental Evaluation of Shortest Path and Distance Queries in Time-Dependent Spatial Networks

The salient advantages of this representation are that network transparency is autonomous of number of clients and each client only downloads a piece of the complete roadmap in relation to index information. An innovative solution towards shortest path computation is in the direction of broadcasting an air index on wireless network. In our work we suggest a new way out towards index transmission representation by initiation of live traffic index as the important method. Live traffic index is expected to put forward comparatively short tune-in cost, rapid query response time; little broadcast size as well as light maintenance time for online shortest paths. In our work, we prioritize tune-in cost as vital optimized factor while it affects duration of client receivers into dynamic mode and power expenditure is determined by tuning cost. We moderate tune-in cost of one service, and then we reserve additional resources for other services. The proposed system maintains index in favour of live traffic situation by incorporating dynamic shortest path tree into hierarchical index methods effectively. It lessen tune-in cost as compared to modern competitors; while it still offers reasonable query response time, broadcast size, as well as maintenance time. Keywords: Shortest path computation; Live traffic index; Broadcast; Hierarchical index
A Method for the Automatic Creation of Bidirectional Transportation Paths for AGVs in Delmia QUEST

Abstract In this paper, a method for the automatic creation of bidirectional paths for AGVs in the Delmia QUEST software application is presented. The layout of transportation subsystem can be prepared in a spreadsheet. Based on it the file with input data is generated. Using programming languages included in QUEST, procedures were created and based on these procedures, a macro was built. This macro allows reading input data from the file and creates the transportation paths automatically. This enables the simulation model building to be less time consuming.
The well-tempered object: musical applications of object-oriented software technology

This edited collection of articles from Computer Music Journal provides a timely and convenient source of tutorials on OOP languages and software design techniques and surveys a wide range of existing applications of this technology to music and digital signal processing. Object-oriented programming (OOP) is perhaps the most important new software engineering technology of the past decade and promises to be a key factor in much of the software of the 1990s. This edited collection of articles from Computer Music Journal provides a timely and convenient source of tutorials on OOP languages and software design techniques and surveys a wide range of existing applications of this technology to music and digital signal processing. Included are the popular OOP languages LISP, Smalltalk-80, and Objective-C, and applications such as music description and composition, real-time performance, and digital signal processing.Contents. Introduction. Tutorials and Technology. Machine Tongues VIII: The Design of a Smalltalk Music System, Glenn E. Krasner. Machine Tongues IX: Object-Oriented Programming, Henry Lieberman. Machine Tongues XI: Object-Oriented Software Design, Stephen Pope. Music Representation and Processing Tools. Flavors Band: A Language for Specifying Musical Style, Christopher Fry. FORMES: Composition and Scheduling of Processes, Xavier Roder and Pierre Cointe. An Introduction to the MODE System - A Musical Object Development Environment, Stephen Pope. An Overview of the Sound and Music Kits for the NeXT Computer, David Jaffe and Lee Boynton. Composition Systems. The Kyma/Platypus Computer Music Workstation, Carla Scaletti. An Introduction to the Creation Station, Henry Flurry. TTrees: A Tool for the Compositional Environment, Glendon Diener. Signal Processing Systems. Javelina: An Environment for Digital Signal Processor Software Development, Kurt Hebel. Virtual Digital Signal Processing in an ObjectOriented System, David Mellinger, Guy Garnett, and Bernard Mont-Reynaud.
Creating innovation that drives authenticity

Purpose The purpose of this paper is to explore the relationship between innovation and authenticity by developing a conceptual framework that illuminates the key constructs. Design/methodology/approach The paper adopts a common perspective – the customer – for both innovation and authenticity. A conceptual framework identifying the roles of centrality and distinctiveness in the innovation–authenticity relationship is developed and justified based upon prior research regarding brand extensions and authenticity. Findings The innovation–authenticity relationship can be visualized and managed using two constructs: centrality and distinctiveness. Centrality is proposed to have a positive relationship, whereas distinctiveness is proposed to have a non-linear (inverted-U) relationship. Originality/value The paper contributes a new conceptualization of the innovation–authenticity–loyalty relationship. It applies C–D Mapping in a completely new way to provide managerially relevant visualization of customers’ perceptions of a new innovation vis-à-vis the parent brand to guide strategic decision making. The paper also suggests areas for further research to improve our understanding of successful innovation–authenticity alignment.
Personalization for Kanji Learning Using Mobile-based Email

This paper describes an adaptive learning system using mobile phone email to support the study of Kanji learning. In our study we try to resolve a common problem which usually occurs in the mobile-based email or SMS language learning systems. To achieve this goal, we have adopted the methods of adaptive learning in our system, such as sending the contents to a learner following his or her interests, adjusting the difficulty level of the tests to suit the learner‟s proficiency level and adapting the system to his or her learning style. Furthermore, our system has already been evaluated by the learners and the results show that most of them benefited from our system and would like to continue using it.
Microwave Integrated Circuits

マイクロ波ICは, マイクロ波機器の小形・軽量化, 高信頼度化, 経済化を目的に開発されたもので, この数年間に著しい発展をとげた. 製造技術の面にはまだ問題が残されているものの, 今後マイクロ波ICの適用により新たな需要が開かれ, 各分野での広い利用が期待されている. 本文はマイクロ波ICを分布定数型と集中定数型に大別し, 基本的な構成素子の設計法, 高周波限界, 特徴などを中心に解説したものである.
Proposta e implementação de extensão de autenticação de Manet para protocolo OLSR

This work presents a proposition and implementation of Mane t Authentication Extension (MAE). It is proposed an authentication service in routing level in c uding routing messages of OLSR which is presented by the first version of RFC 3626. The packet a nd messages formats were adapted to fit multiples messages according to RFC 5444. One of the security service with preventive nature is MAE, which provides an authentication ext ension ensuring that MANET messages coming from untrustful nodes receive different treat m nt according to the security politic. The message may be rejected or handled in a different way. The work’s objective is to implement MAE for OLSR v1.
An extensible natural-language query interface to the DBpedia Triple-store

DBpedia is a triple-based binary-relational database which contains 3 billion, and counting, facts derived from Wikipedia. Ideally, individuals should be able to access semantic web triple-store data through natural-language queries. Several attempts have been made to create natural-language (NL) query interfaces to DBpedia. However, no one has yet built a wide-coverage natural-language query processor for DBpedia. DBpedia does not currently encode contextual data representing the time, location or other properties of binary-relationships. This means that NL queries cannot contain prepositional phrases such as the phrase "in 2004" in the query: "what film was directed by Clint Eastwood in 2004". Existing NL query interfaces to DBpedia cannot handle prepositional phrases; they are also unable to be extended to do so when used with triple-stores other than DBpedia, which can accommodate contextual data. In this thesis, we investigate an alternative approach to querying DBpedia in which NL queries are treated as expressions of the lambda calculus which are evaluated directly with respect to the triple-store using a compositional and extensible denotational semantics of English.
TERAPIA COGNITIVO-COMPORTAMENTAL: A RELAÇÃO ENTRE OS ESQUEMAS DESADAPTATIVOS INICIAIS E AS CRENÇAS IRRACIONAIS COM OS TRANSTORNOS MENTAIS COMUNS

Os esquemas desadaptativos iniciais e as crenças irracionais são construtos da Terapia Cognitivo-Comportamental (TCC) que se encontram relacionados a diversas formas de psicopatologias e demandas psicológicas. O presente artigo objetiva conhecer a relação entre esses construtos e os transtornos mentais comuns (ansiedade, depressão e estresse). Para tanto contou com uma amostra de 406 pessoas da população geral da cidade de Fortaleza-CE, que responderam um questionário contendo as medidas: Escala de Ansiedade, Depressão e Stress (EADS); Versão Brasileira do Questionário de Esquemas de Young (forma breve); e Escala de Crenças Irracionais (BFI). Em seguida, por meio de análises descritivas e correlações r de Pearson foi possível averiguar a relação entre os construtos. De forma geral, todos mostraram-se correlacionados de forma significativa. Especificamente, os esquemas desadaptativos apresentaram valores de correlação superiores às crenças irracionais quando relacionados aos transtornos mentais comuns e a ansiedade foi a variável com os menores valores de correlação. Conclui-se que os construtos propostos pela TCC têm muito a contribuir com a área da psicopatologia, beneficiando-se desses tanto de forma teórica, quanto em intervenções que visem a melhoria da saúde mental.