نشریه فناوری اطلاعات و ارتباطات ایران
سال هفتم شماره 23 (بهار و تابستان 1394)

Health has always been one of the most important concerns of human. The goal in this research is to know what factors cause and affect patient satisfaction in the relationship between a physician and patient. Since this relationship is a form of healthcare service, the SERVQUAL service quality assessment method has been used as a framework. However the questions have been reviewed based on the previous literature and the experts’ views, leading to a questionnaire designed for the healthcare domain. Data collection has been performed using the questionnaires on subjects selected amongst clients of Rhinoplasty Centers in Tehran. To analyze the data, three machine-learning approaches have been implemented namely Decision Tree, Support Vector Machine and Artificial Neural Networks. A number of possible factors affecting the patient-physician relationship have been used as input and patient satisfaction has been taken as output. Comparing the results of these three methods, Artificial Neural Networks method is shown to have better performance, which has therefore been used for prioritizing the effective factors in this relationship. The results indicate that reaching the information which the patient expects their physician to give is the most effective characteristic in patient satisfaction. The rank of gained features were compared with similar researches. The outcome was very similar and approved the results.

Recent advances in wireless electronic and communications provide us the ability to build small, economical sensors with low power consumption and many diverse applications. Limited energy capacity of sensors is a huge challenge that will affect these networks. Clustering has been used as a well-known method to handle this challenge. To find appropriate location of cluster's heads, imperialist competitive algorithm as an emerging topic in computational intelligence has been used. Cluster's heads are connected in a three-level model so that cluster heads with low energy capacity and far from station are considered as level three indirectly communicating with base station. This eventually increases lifetime of wireless sensor networks.

Abstract: (18 Views)
Mobile Government Ecosystem is one of the emerging ecosystems in Iran. The purpose of this paper is to identify and analyze the structure and identifying the role of each of the key stakeholders of this ecosystem. In order to achieve this purpose, by studying the related literatures and the models presented in these literatures, a mobile government ecosystem conceptual model is proposed, where four new key stakeholders are introduced: new trends in over the top (OTT) services, innovation and innovators, advertisement and advertisers, and mediators. Then, a questionnaire is designed to verify the factors identified in the model and to examine the effects of these factors on the mobile government ecosystem. The questionnaire was distributed to a random sample of 400 experts, where 363 responses were collected, and analyzed based on structural equation modeling. The results show that with the exception of advertisement and advertisers, the three other key stakeholders have significant coefficients in the model.

Nowadays one of the biggest problems of IT organizations in less developed countries is paying too much attention to infrastructure and technology of organizations. This is due to the point that many managers in organizations believe that existence of IT infrastructure and technology by itself is a sign of maturity of an organization. Although technical facilities and infrastructure such as networks, hardware, software etc., is essential for providing appropriate services and optimal performance, but these features cannot provide a competitive advantage and increase the maturity of the organization. The missing link in these organizations, which have been less considered, is how to use these features to achieve organizational goals. In different areas, there are several standards and optimal methods for defining and optimizing processes. Some of the most complex models which should be considered in different units of information technology are, models and frameworks related to IT governance. IT governance focuses on implementation and management of quality of IT services so as to meet business needs. IT governance is done by service providers through an appropriate combination of people, process and information technology. The purpose of this paper is to examine different models and frameworks of IT governance models, in order to propose a framework for assessing IT services.

Nowadays, monitoring people’s health and helping those in need of medical attention is one of the most important responsibilities of governments. Emergency Medical Services (EMS) are therefore setup to provide timely care to victims of sudden and life-threatening injuries or emergencies in order to prevent needless mortality or long-term morbidity. Providing rapid EMS with minimum response time will help improve survival rates. However, factors such as limited ambulance resources, large coverage area and high call-rates have caused delays in EMS, which have lead to lower survival rates. In this research the problem of ambulance dispatching with regards to lowering the response time is discussed. Response time is the most important factor in evaluating the performance of various EMS, which is directly proportional to mortality and survival rates. The most common method to reduce response time in ambulance dispatching is to choose the nearest available ambulance unit, i.e. the nearest neighbor (NN). Other methods use call-priority, first-in first-out (FIFO), preparedness and hybrid algorithms. One of the latest methods used in ambulance dispatching is based on complex networks. This method will apply a higher priority to the call that is more centrally located with respect to other calls. A hybrid algorithm has been proposed in this research which exceed the previous methods in terms of response time reduction.The proposed hybrid approach is based on complex network analysis and a search algorithm, which relies on the important parameters of dispatch, yet presents fewer constraints and overcomes some of the difficulties of the previous methods. In addition, prioritizing emergency calls is also considered. To evaluate these proposed algorithms, a combination of various parameters and operating environments has been simulated. The results of the simulations show improvements in response time reduction compared to previous methods.

By expanding application of digital content in the world of information technology, supervision and control over the data, and also preventing the copy of documents is considered. In this relation digital rights management systems are responsible for the secure distribution of digital content, and for this purpose the common functions in the field of cryptography and utilize Digital watermarking have used. On the other hand, the key management is very important in digital rights management systems, and methods such as Digital watermarking methods are not effective in preventing copying files and digital documents. In this paper, we have proposed a model to improve the performance of digital rights management systems. This method is based on multi-part encryption and control on documents publication. The main distinction of this approach with other methods employed is using Obfuscation techniques to protect the key generation algorithm against reverse engineering.