va

Algorithms for the Evaluation of Ontologies for Extended Error Taxonomy and their Application on Large Ontologies

Ontology evaluation is an integral and important part of the ontology development process. Errors in ontologies could be catastrophic for the information system based on those ontologies. As per our experiments, the existing ontology evaluation systems were unable to detect many errors (like, circulatory error in class and property hierarchy, common class and property in disjoint decomposition, redundancy of sub class and sub property, redundancy of disjoint relation and disjoint knowledge omission) as defined in the error taxonomy. We have formulated efficient algorithms for the evaluation of these and other errors as per the extended error taxonomy. These algorithms are implemented (named as OntEval) and the implementations are used to evaluate well-known ontologies including Gene Ontology (GO), WordNet Ontology and OntoSem. The ontologies are indexed using a variant of already proposed scheme Ontrel. A number of errors and warnings in these ontologies have been discovered using the OntEval. We have also reported the performance of our implementation, OntEval.




va

A Comparison of Different Retrieval Strategies Working on Medical Free Texts

Patient information in health care systems mostly consists of textual data, and free text in particular makes up a significant amount of it. Information retrieval systems that concentrate on these text types have to deal with the different challenges these medical free texts pose to achieve an acceptable performance. This paper describes the evaluation of four different types of information retrieval strategies: keyword search, search performed by a medical domain expert, a semantic based information retrieval tool, and a purely statistical information retrieval method. The different methods are evaluated and compared with respect to its appliance in medical health care systems.




va

An Ontology based Agent Generation for Information Retrieval on Cloud Environment

Retrieving information or discovering knowledge from a well organized data center in general is requested to be familiar with its schema, structure, and architecture, which against the inherent concept and characteristics of cloud environment. An effective approach to retrieve desired information or to extract useful knowledge is an important issue in the emerging information/knowledge cloud. In this paper, we propose an ontology-based agent generation framework for information retrieval in a flexible, transparent, and easy way on cloud environment. While user submitting a flat-text based request for retrieving information on a cloud environment, the request will be automatically deduced by a Reasoning Agent (RA) based on predefined ontology and reasoning rule, and then be translated to a Mobile Information Retrieving Agent Description File (MIRADF) that is formatted in a proposed Mobile Agent Description Language (MADF). A generating agent, named MIRA-GA, is also implemented to generate a MIRA according to the MIRADF. We also design and implement a prototype to integrate these agents and show an interesting example to demonstrate the feasibility of the architecture.




va

Cooperation as a Service in VANETs

Vehicular Networks, including Vehicular Adhoc Networks (VANETs) and Vehicular Sensor Networks (VSNs), stimulate a brand new variety of services, ranging from driver safety services, traffic information and warnings regarding traffic jams and accidents, to providing weather or road condition, parking availability, and advertisement. 3G networks and sophisticated Intelligent Transportation Systems (ITS), including deploying costly roadside base stations, can indeed be used to offer such services, but these come with a cost, both at network and hardware levels. In this paper we introduce Cooperation as a service (CaaS): A novel architecture that will allow providing a set of services for free and without any additional infrastructure, by taking advantage of Vehicle-to-Vehicle communications. CaaS uses a hybrid publish/subscribe mechanism where the driver (or subscriber) expresses his interests regarding a service (or a set of services) and where cars having subscribed to the same service will cooperate to provide the subscriber with the necessary information regarding the service he subscribed to, by publishing this information in the network. CaaS structures the network into clusters, and uses Content Based Routing (CBR) for intra-cluster communications and geographic routing for inter-cluster communications.




va

Coup d'envoi de la saison des carnavals à Cologne en Allemagne

Coup d'envoi de la saison des carnavals à Cologne en Allemagne




va

Trump va nommer les "faucons" Rubio et Waltz à la tête de la politique étrangère (rapports)

Trump va nommer les "faucons" Rubio et Waltz à la tête de la politique étrangère (rapports)




va

L'aide militaire américaine à Israël va se poursuivre après un ajustement de l'aide à Gaza

L'aide militaire américaine à Israël va se poursuivre après un ajustement de l'aide à Gaza




va

An architectural view of VANETs cloud: its models, services, applications and challenges

This research explores vehicular ad hoc networks (VANETs) and their extensive applications, such as enhancing traffic efficiency, infotainment, and passenger safety. Despite significant study, widespread deployment of VANETs has been hindered by security and privacy concerns. Challenges in implementation, including scalability, flexibility, poor connection, and insufficient intelligence, have further complicated VANETs. This study proposes leveraging cloud computing to address these challenges, marking a paradigm shift. Cloud computing, recognised for its cost-efficiency and virtualisation, is integrated with VANETs. The paper details the nomenclature, architecture, models, services, applications, and challenges of VANET-based cloud computing. Three architectures for VANET clouds - vehicular clouds (VCs), vehicles utilising clouds (VuCs), and hybrid vehicular clouds (HVCs) - are discussed in detail. The research provides an overview, delves into related work, and explores VANET cloud computing's architectural frameworks, models, and cloud services. It concludes with insights into future work and a comprehensive conclusion.














va

Elections communales 2024 - Mark Demesmaeker tête de liste N-VA à Hal pour les communales de 2024

(Belga) L'ex-député européen Mark Demesmaeker, désormais sénateur coopté N-VA, sera la tête de liste du parti nationaliste pour les élections communales d'octobre 2024 à Hal (Brabant flamand), a-t-il indiqué lundi, confirmant des informations de presse.

M. Demesmaeker est conseiller communal à Hal depuis 2007 et y a été échevin durant six ans. La N-VA a terminé à deux reprises, lors des scrutins communaux de 2012 et 2018, comme premier parti de la commune. M. Demesmaeker a affirmé lundi toujours avoir cette ambition. "Nous avons une équipe jeune et soudée, avec expertise et vision. Je vise une progression", a-t-il dit. Il s'est dit convaincu que le changement de législation en Flandre - qui prévoit que le plus grand parti dispose d'un droit d'initiative pour former une coalition communale et que le candidat du plus grand groupe ayant recueilli le plus de voix de préférence devienne bourgmestre - lui offre un solide avantage. "Nous avons de bonnes chances, a-t-il souligné. L'élu nationaliste a affirmé vouloir se concentrer sur des thèmes comme l'urbanisation de Hal et la politique en matière de langue, en évoquant la "francisation de la ville". (Belga)




va

Le changement climatique, facteur aggravant du trafic d'êtres humains

(Belga) La multiplication des désastres météorologiques, qui pousse sur les routes des millions de personnes, est aujourd'hui l'une des "causes principales" du trafic d'êtres humains, selon un rapport onusien publié mardi, évoquant également les risques posés par la guerre en Ukraine.

"Le changement climatique accroît la vulnérabilité au trafic", souligne cette étude de l'Office des Nations unies contre la drogue et le crime (ONUDC), basée sur la collecte des données de 141 pays sur la période 2017-2020 et l'analyse de 800 affaires judiciaires. Au fil du temps, "des régions entières vont devenir inhabitables", ce qui "affecte de manière disproportionnée" les communautés pauvres vivant essentiellement de l'agriculture ou de la pêche. Elles se retrouvent "privées de leurs moyens de subsistance et contraintes de fuir leur communauté", devenant une proie facile pour les trafiquants, a expliqué à la presse en amont de la publication Fabrizio Sarrica, auteur principal du texte. Rien qu'en 2021, les catastrophes climatiques ont provoqué le déplacement interne de plus de 23,7 millions de personnes, tandis que de nombreux autres ont dû partir à l'étranger. Le rapport cite des typhons dévastateurs aux Philippines, ou encore le Bangladesh, particulièrement exposé aux cyclones et tempêtes. Dans les deux pays, une hausse des cas de trafic a été constatée, avec par exemple l'organisation de "larges campagnes de recrutement" pour piéger dans le travail forcé les plus démunis. Le Ghana, victime de sécheresses et d'inondations, et la région des Caraïbes, soumise aux ouragans et à la montée du niveau de la mer, sont aussi en première ligne. Autre terrain propice au trafic, les conflits armés. Si l'Afrique est de loin le continent le plus touché, l'instance onusienne pointe une situation potentiellement "dangereuse" en Ukraine, tout en saluant les mesures prises par les pays de l'Union européenne pour accueillir et protéger les millions de réfugiés. (Belga)




va

Transactions on Data Privacy 12:2 (2019)

Transactions on Data Privacy, Volume 12 Issue 2 (2019) has been published.




va

Transactions on Data Privacy 12:3 (2019)

Transactions on Data Privacy, Volume 12 Issue 3 (2019) has been published.




va

Transactions on Data Privacy 13:1 (2020)

Transactions on Data Privacy, Volume 13 Issue 1 (2020) has been published.




va

Transactions on Data Privacy 13:2 (2020)

Transactions on Data Privacy, Volume 13 Issue 2 (2020) has been published.




va

Transactions on Data Privacy 13:3 (2020)

Transactions on Data Privacy, Volume 13 Issue 3 (2020) has been published.




va

Transactions on Data Privacy 14:1 (2021)

Transactions on Data Privacy, Volume 14 Issue 1 (2021) has been published.




va

Transactions on Data Privacy 14:2 (2021)

Transactions on Data Privacy, Volume 14 Issue 2 (2021) has been published.




va

Transactions on Data Privacy 14:3 (2021)

Transactions on Data Privacy, Volume 14 Issue 3 (2021) has been published.




va

Transactions on Data Privacy 15:1 (2022)

Transactions on Data Privacy, Volume 15 Issue 1 (2022) has been published.




va

Transactions on Data Privacy 15:2 (2022)

Transactions on Data Privacy, Volume 15 Issue 2 (2022) has been published.




va

Transactions on Data Privacy 15:3 (2022)

Transactions on Data Privacy, Volume 15 Issue 3 (2022) has been published.




va

Transactions on Data Privacy 16:1 (2023)

Transactions on Data Privacy, Volume 16 Issue 1 (2023) has been published.




va

Transactions on Data Privacy 16:3 (2023)

Transactions on Data Privacy, Volume 16 Issue 3 (2023) has been published.




va

Transactions on Data Privacy 17:1 (2024)

Transactions on Data Privacy, Volume 17 Issue 1 (2024) has been published.




va

Transactions on Data Privacy 17:2 (2024)

Transactions on Data Privacy, Volume 17 Issue 2 (2024) has been published.




va

Transactions on Data Privacy 17:3 (2024)

Transactions on Data Privacy, Volume 17 Issue 3 (2024) has been published.




va

Predicting Innovation: Why Facebook/WhatsApp Merger Flunked

By Hasan Basri Cifci[1] In the world of 2014, the Commission of Facebook/WhatsApp merger case[2] concluded that integration and interoperation of Facebook and WhatsApp were unfeasible. However, Facebook integrated its three subsidiaries (WhatsApp, Instagram, and Facebook) under its brand in




va

En renonᅵant aux dividendes, l'Etat va perdre 2,4 milliards d'euros

Pas de dividendes en pᅵriode de crise. En annonᅵant qu'il n'accorderait aucune aide (comme des reports de cotisation) aux entreprises qui verseraient des dividendes ᅵ leurs actionnaires, le gouvernement a tentᅵ...




va

Journᅵes parlementaires, campus rᅵgionaux : La Rᅵpublique en marche va dᅵpenser prᅵs d'un million d'euros pour sa rentrᅵe

C'est la rentrᅵe politique. Et qui dit rentrᅵe, dit universitᅵ d'ᅵtᅵ. Cette annᅵe, la Rᅵpublique en marche a vu les choses en grand en organisant ᅵ la fois des journᅵes...




va

Risk evaluation method of electronic bank investment based on random forest

Aiming at the problems of high error rate, low evaluation accuracy and low investment return in traditional methods, a random forest-based e-bank investment risk evaluation method is proposed. First, establish a scientific e-bank investment risk evaluation index system. Then, G1-COWA combined weighting method is used to calculate the weights of each index. Finally, the e-bank investment risk evaluation index data is taken as the input vector, and the e-bank investment risk evaluation result is taken as the output vector. The random forest model is established and the result of e-banking investment risk evaluation is obtained. The experimental results show that the maximum relative error rate of this method is 4.32%, the evaluation accuracy range is 94.5~98.1%, and the maximum return rate of e-banking investment is 8.32%. It shows that this method can accurately evaluate the investment risk of electronic banking.




va

Le Vatican savait

Le pape François a reconnu que « le Vatican savait ». Cette révélation suscite des questions : que savait-il et depuis quand ? L’Église, les médias et Emmaüs semblent avoir fermé les yeux sur la vérité. Face aux souffrances des victimes, l'Église doit maintenant agir, les soutenir activement, ou trahir ses propres fondations morales.




va

La revanche des darons

La nomination de Gabriel Attal était l’apothéose macroniste, l’acmé juvénile. La consécration des jeunes executives en costumes slim. Las, nos virtuoses de la finance laissent le pays dans un sale état et, pour tenter de réparer les dégâts, c'est au panache blanc du vieux Barnier qu'il a fallu faire appel... Dans le marasme actuel, le renversement est au moins savoureux.




va

An effective differential privacy protection method of location data based on perturbation loss constraint

Differential privacy is usually applied to location privacy protection scenarios, which confuses real data by adding interference noise to location points to achieve the purpose of protecting privacy. However, this method can result in a significant amount of redundant noisy data and impact the accuracy of the location. Considering the security and practicability of location data, an effective differential privacy protection method of location data based on perturbation loss constraint is proposed. After applying the Laplace mechanism under the condition of differential privacy to perturb the location data, the Savitzky-Golay filtering technology is used to correct the data with noise, and the data with large deviation and low availability is optimised. The introduction of Savitzky-Golay filtering mechanism in differential privacy can reduce the error caused by noise data while protecting user privacy. The experiments results indicate that the scheme improves the practicability of location data and is feasible.




va

The role of mediator variable in digital payments: a structural equation model analysis

The proliferation of technology and communication has resulted in increased digitalisation that includes digital payments. This study is aimed at unravelling the relationship between awareness of individuals about the digital payment system and customer satisfaction with digital payments. Two models were developed in this study. First model considers awareness → usage pattern → customer satisfaction. Second model considers usage pattern → customer satisfaction → perception of digital payments. These two alternative models were tested by collecting data from 507 respondents in southern India was analysed using the structural equation modelling. The results indicate that usage pattern acted as a mediator between awareness and satisfaction, and satisfaction acted as a mediator between usage pattern and consumers' perception of digital payments. The implications for theory and practice are discussed.




va

Enhancing clean technology's dynamic cross technique using value chain

Numerous Indian economic sectors have been impacted by the COVID-19 epidemic, with many being forced to the verge of extinction. As a result, this essay analyses the importance of supply chains for grapes and the manufactured goods made from them, including beverages and currants, in a specific state that happens to be India's top grape-producing region. In order to identify the sites of rupture brought on by the pandemic and to recommend policy changes to create a resilient system, a value chain analysis is performed. Value chain management has emerged as one of the key strategies businesses use today to boost productivity and costs when they are up against greater rivalry in the marketplace, however, with several new challenges, such as concerns over security, environmental protection, compensation, and business accountability. According to the value chain study, the level of value addition for intermediary agents, such as pre-harvest contractors, has increased after COVID-19 at the expense of farmers. Various policy approaches are explained to enhance the grape value chain using the knowledge gained from Porter's value chain results and supply and demand shocks.




va

Integrating big data collaboration models: advancements in health security and infectious disease early warning systems

In order to further improve the public health assurance system and the infectious diseases early warning system to give play to their positive roles and enhance their collaborative capacity, this paper, based on the big and thick data analytics technology, designs a 'rolling-type' data synergy model. This model covers districts and counties, municipalities, provinces, and the country. It forms a data blockchain for the public health assurance system and enables high sharing of data from existing system platforms such as the infectious diseases early warning system, the hospital medical record management system, the public health data management system, and the health big and thick data management system. Additionally, it realises prevention, control and early warning by utilising data mining and synergy technologies, and ideally solves problems of traditional public health assurance system platforms such as excessive pressure on the 'central node', poor data tamper-proofing capacity, low transmission efficiency of big and thick data, bad timeliness of emergency response, and so on. The realisation of this technology can greatly improve the application and analytics of big and thick data and further enhance the public health assurance capacity.




va

Evaluation on stock market forecasting framework for AI and embedded real-time system

Since its birth, the stock market has received widespread attention from many scholars and investors. However, there are many factors that affect stock prices, including the company's own internal factors and the impact of external policies. The extent and manner of fundamental impacts also vary, making stock price predictions very difficult. Based on this, this article first introduces the research significance of the stock market prediction framework, and then conducts academic research and analysis on two key sentences of stock market prediction and artificial intelligence in stock market prediction. Then this article proposes a constructive algorithm theory, and finally conducts a simulation comparison experiment and summarises and discusses the experiment. Research results show that the neural network prediction method is more effective in stock market prediction; the minimum training rate is generally 0.9; the agency's expected dilution rate and the published stock market dilution rate are both around 6%.




va

Fostering innovative work behaviour in Indian IT firms: the mediating influence of employee psychological capital in the context of transformational leadership

This empirical study investigates the mediating role of two components of psychological capital (PsyCap), namely self-efficacy and optimism, in the context of the relationship between transformational leadership (TL), work engagement (WE), and innovative work behaviour (IWB). The study was conducted among IT professionals with a minimum of three years of experience employed in Chennai, India. Data collection was executed using a Google Form, and both measurement and structural models were examined using SPSS 25.0 and AMOS 23.0. The findings of this study reveal several significant relationships. Firstly, transformational leadership (TL) demonstrates a robust positive association with work engagement (WE). Furthermore, work engagement (WE) positively correlates substantially with innovative work behaviour (IWB). Notably, the study underscores that two crucial components of psychological capital, specifically self-efficacy and optimism, mediate the relationship between transformational leadership (TL) and work engagement (WE). These findings carry valuable implications for IT company managers. Recognising that transformational leadership positively influences both work engagement and employees' innovative work behaviour highlights the pivotal role of leaders in fostering a productive and innovative work environment within IT organisations.




va

Do authentic leaders influence innovative work behaviour? An empirical evidence

The purpose of this research is to investigate how genuine leaders impact the creativity and innovative behaviour (IWB) of information technology (IT) employees. It also examines the impact of perceived organisational support as a mediator in the correlations between authentic leadership as well as innovative behaviours. This study explores the influence of authentic leadership via the employee's IWB using aspects from social exchange theory as well as social cognitive theory. The data was collected from a sample of 487 employees of the IT sector in India. The partial least square method is applied to test the structural relationship of the research framework. Findings reveal that authentic leadership positively impact innovative work behaviour and perceived organisation support mediates authentic leadership and IWB. Additionally, when organisations and leaders support the employees and value their creative thinking then the employee replicates IWB in the organisation. The practical and theoretical implications are discussed.




va

International Journal of Work Innovation