The Application of AHP Model to Guide Decision Makers: A Case Study of E-banking Security

Changes in technology have resulted in new ways for bankers to deliver their services to costumers. Electronic banking systems in various forms are the evidence of such advancement. However, information security threats also evolving along this trend. This paper proposes the application of Analytic Hierarchy Process (AHP) methodology to guide decision makers in banking industries to deal with information security policy. The model is structured according aspects of information security policy in conjunction with information security elements. We found that cultural aspect is valued on the top priority among other security aspects, while confidentiality is considered as the most important factor in terms of information security elements.Comment: 5 page

A New Fuzzy MCDM Framework to Evaluate E-Government Security Strategy

Ensuring security of e-government applications and infrastructures is crucial to maintain trust among stakeholders to store, process and exchange information over the e-government systems. Due to dynamic and continuous threats on e-government information security, policy makers need to perform evaluation on existing information security strategy as to deliver trusted e-government services. This paper presents an information security evaluation framework based on new fuzzy multi criteria decision making (MCDM) to help policy makers conduct comprehensive assessment of e-government security strategy.Comment: IEEE 4th International Conference on Application of Information and Communication Technologies AICT201

Rutas de configuración de innovación organizacional y tecnológica para el desempeño empresarial mediante el análisis fuzzy-set QCA

The relationship between organizational and technological innovation and its effect on firm performance have received attention for the literature with divided perspectives. Both modes of innovation are considered as important sources of competitive advantage. Empirical evidence so far indicates two directions regarding the relationship between organizational and technological innovation: those supporting that organizational innovation enables technological innovation, and those with the opposite perspective. Recent evidence suggests a holistic approach to understand the intrinsic relationship between the firm’s innovative activities. This study uses the dynamic capabilities view of the firm and implements a fuzzy-set qualitative comparative analysis (fsQCA) for a sample of enterprises in Latin America, to clarify complex causal interactions of the firm’s attributes and different forms of innovation leading to high performance. The results show several equifinal solutions leading to business success. Additionally, the results identify three different archetypes of firms based on innovative behavior. La relación entre la innovación organizacional y tecnológica y su efecto en el desempeño empresarial ha recibido atención por la literatura con perspectivas divididas. Ambos modos de innovación se consideran fuentes importantes de ventaja competitiva. La evidencia empírica hasta ahora indica dos direcciones con respecto a la relación entre la innovación organizacional y tecnológica: aquellos que indican que la innovación organizacional posibilita la innovación tecnológica, y aquellos con una perspectiva opuesta. La evidencia reciente sugiere mantener un enfoque holístico para comprender la relación intrínseca entre las actividades innovadoras de una empresa. Este estudio utiliza la visión de capacidades dinámicas de las organizaciones e implementa un análisis fuzzy-set comparativo cualitativo (fsQCA) para una muestra de empresas en América Latina, con el objetivo de observar interacciones causales complejas entre los atributos de una empresa y diferentes formas de innovación que conducen a un alto desempeño. Los resultados muestran varias soluciones equifinales que conducen al éxito empresarial. Además, los resultados identifican tres arquetipos diferentes de empresas basados ​​en comportamientos de innovación.&nbsp

Effect of Osteoconductive Hyaluronate Hydrogels on Calvarial Bone Regeneration

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Transaction Management for Sender/Receiver-Payment Schemes in Charging and Accounting Systems for Interconnected Networks

In this paper, we present an Internet transaction management system for sender/receiver payment schemes. This system allows an arbitrary split of transaction charges between two communication partners. Using this kind of system, new business models can be implemented on the Internet. The new system provides more flexibility than existing charging schemes. Under these new business models, service providers can pick up a share of the cost for the transaction with any of their customers; offer collect-call type of services; or provide services as the 900 services on the telephone network. This paper describes in detail the transaction management protocol (TMP), its implementation, and the transaction management service platform (TMS). The TMP specifies the protocol state diagram as well as the process of how the costs for resource usage can be allocated to communicating end-users. The TMS platform defines the architecture and the modules, simplifying the implementation of the TMP on the Internet. The TMS provides a module-based transaction management environment, carrying transaction signals such as message schema, accounting policy information, communication reference information, and end-user agreement information. In addition to this, an application of the TMS in the framework of bandwidth broker interconnection networ

An interactive retrieval system for clinical trial studies with context-dependent protocol elements.

A well-defined protocol for a clinical trial guarantees a successful outcome report. When designing the protocol, most researchers refer to electronic databases and extract protocol elements using a keyword search. However, state-of-the-art database systems only offer text-based searches for user-entered keywords. In this study, we present a database system with a context-dependent and protocol-element-selection function for successfully designing a clinical trial protocol. To do this, we first introduce a database for a protocol retrieval system constructed from individual protocol data extracted from 184,634 clinical trials and 13,210 frame structures of clinical trial protocols. The database contains a variety of semantic information that allows the filtering of protocols during the search operation. Based on the database, we developed a web application called the clinical trial protocol database system (CLIPS; available at https://corus.kaist.edu/clips). This system enables an interactive search by utilizing protocol elements. To enable an interactive search for combinations of protocol elements, CLIPS provides optional next element selection according to the previous element in the form of a connected tree. The validation results show that our method achieves better performance than that of existing databases in predicting phenotypic features

Application of Artificial Intelligence in Capsule Endoscopy: Where Are We Now?

Unlike wired endoscopy, capsule endoscopy requires additional time for a clinical specialist to review the operation and examine the lesions. To reduce the tedious review time and increase the accuracy of medical examinations, various approaches have been reported based on artificial intelligence for computer-aided diagnosis. Recently, deep learning–based approaches have been applied to many possible areas, showing greatly improved performance, especially for image-based recognition and classification. By reviewing recent deep learning–based approaches for clinical applications, we present the current status and future direction of artificial intelligence for capsule endoscopy