List of Articles Quality

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  1 - Ten Steps for Software Quality Rating Considering ISO/IEC
  Hassan Alizadeh Bahram Sadeghi Bigham Hossein Afsari
  10.7508/jist.2013.03.006
  In software rating area, it is necessary to apply a measurement reference model to evaluate the quality of software. The standard 25030 is an example of an evaluation system which is based on stakeholders' requirements. In this study, an attempt has been made to establi More

  In software rating area, it is necessary to apply a measurement reference model to evaluate the quality of software. The standard 25030 is an example of an evaluation system which is based on stakeholders' requirements. In this study, an attempt has been made to establish a model in which all implicit and explicit requirements of stakeholders, users and policy makers have been taken into account. In addition, AHP method has been followed to weigh the indicators used in the model. The results show applicability of the model to meet the requirements of Iranian users. Manuscript profile
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  2 - Quality Assessment Based Coded Apertures for Defocus Deblurring
  Mina Masoudifar Hamid Reza Pourreza
  10.7508/jist.2016.02.006
  A conventional camera with small size pixels may capture images with defocused blurred regions. Blurring, as a low-pass filter, attenuates or drops details of the captured image. This fact makes deblurring as an ill-posed problem. Coded aperture photography can decrease More

  A conventional camera with small size pixels may capture images with defocused blurred regions. Blurring, as a low-pass filter, attenuates or drops details of the captured image. This fact makes deblurring as an ill-posed problem. Coded aperture photography can decrease destructive effects of blurring in defocused images. Hence, in this case, aperture patterns are designed or evaluated based on the manner of reduction of these effects. In this paper, a new function is presented that is applied for evaluating the aperture patterns which are designed for defocus deblurring. The proposed function consists of a weighted sum of two new criteria, which are defined based on spectral characteristics of an aperture pattern. On the basis of these criteria, a pattern whose spectral properties are more similar to a flat all-pass filter is assessed as a better pattern. The weights of these criteria are determined by a learning approach. An aggregate image quality assessment measure, including an existing perceptual metric and an objective metric, is used for determining the weights. According to the proposed evaluation function, a genetic algorithm that converges to a near-optimal binary aperture pattern is developed. In consequence, an asymmetric and a semi-symmetric pattern are proposed. The resulting patterns are compared with the circular aperture and some other patterns in different scenarios. Manuscript profile
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  3 - A Novel Approach for Cluster Self-Optimization Using Big Data Analytics
  Abbas Mirzaei Amir Rahimi
  10.7508/jist.2019.01.005
  One of the current challenges in providing high bitrate services in next generation mobile networks is limitation of available resources. The goal of proposing a self-optimization model is to maximize the network efficiency and increase the quality of services provided More

  One of the current challenges in providing high bitrate services in next generation mobile networks is limitation of available resources. The goal of proposing a self-optimization model is to maximize the network efficiency and increase the quality of services provided to femto-cell users, considering the limited resources in radio access networks. The basis for our proposed scheme is to introduce a self-optimization model based on neighbouring relations. Using this model, we can create the possibility of controlling resources and neighbouring parameters without the need of human manipulation and only based on the network’s intelligence. To increase the model efficiency, we applied the big data technique for analyzing data and increasing the accuracy of the decision-making process in a way that on the uplink, the sent data by users is to be analyzed in self-optimization engine. The experimental results show that despite the tremendous volume of the analyzed data – which is hundreds of times bigger than usual methods – it is possible to improve the KPIs, such as throughput, up to 30 percent by optimal resource allocation and reducing the signaling load. Also, the presence of feature extraction and parameter selection modules will reduce the response time of the self-optimization model up to 25 percent when the number of parameters is too high Moreover, numerical results indicate the superiority of using support vector machine (SVM) learning algorithm. It improves the accuracy level of decision making based on the rule-based expert system. Finally, uplink quality improvement and 15-percent increment of the coverage area under satisfied SINR conditions can be considered as outcome of the proposed scheme. Manuscript profile
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  4 - Balancing Agility and Stability of Wireless Link Quality Estimators
  MohammadJavad Tanakian Mehri Mehrjoo
  10.7508/jist.2019.03.003
  The performance of many wireless protocols is tied to a quick Link Quality Estimation (LQE). However, some wireless applications need the estimation to respond quickly only to the persistent changes and ignore the transient changes of the channel, i.e., be agile and sta More

  The performance of many wireless protocols is tied to a quick Link Quality Estimation (LQE). However, some wireless applications need the estimation to respond quickly only to the persistent changes and ignore the transient changes of the channel, i.e., be agile and stable, respectively. In this paper, we propose an adaptive fuzzy filter to balance the stability and agility of LQE by mitigating the transient variation of it. The heart of the fuzzy filter is an Exponentially Weighted Moving Average (EWMA) low-pass filter that its smoothing factor is changed dynamically with fuzzy rules. We apply the adaptive fuzzy filter and a non-adaptive one, i.e., an EWMA with a constant smoothing factor, to several types of channels from short-term to long-term transitive channels. The comparison of the filters outputs shows that the non-adaptive filter is stable for large values of the smoothing factor and is agile for small values of smoothing factor, while the proposed adaptive filter outperforms the other ones in terms of balancing the agility and stability measured by the settling time and coefficient of variation, respectively. Notably, the proposed adaptive fuzzy filter performs in real time and its complexity is low, because of using limited number of fuzzy rules and membership functions. Manuscript profile
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  5 - SSIM-Based Fuzzy Video Rate Controller for Variable Bit Rate Applications of Scalable HEVC
  Farhad Raufmehr Mehdi Rezaei
  10.7508/jist.2019.03.004
  Scalable High Efficiency Video Coding (SHVC) is the scalable extension of the latest video coding standard H.265/HEVC. Video rate control algorithm is out of the scope of video coding standards. Appropriate rate control algorithms are designed for various applications t More

  Scalable High Efficiency Video Coding (SHVC) is the scalable extension of the latest video coding standard H.265/HEVC. Video rate control algorithm is out of the scope of video coding standards. Appropriate rate control algorithms are designed for various applications to overcome practical constraints such as bandwidth and buffering constraints. In most of the scalable video applications, such as video on demand (VoD) and broadcasting applications, encoded bitstreams with variable bit rates are preferred to bitstreams with constant bit rates. In variable bit rate (VBR) applications, the tolerable delay is relatively high. Therefore, we utilize a larger buffer to allow more variations in bitrate to provide smooth and high visual quality of output video. In this paper, we propose a fuzzy video rate controller appropriate for VBR applications of SHVC. A fuzzy controller is used for each layer of scalable video to minimize the fluctuation of QP at the frame level while the buffering constraint is obeyed for any number of layers received by a decoder. The proposed rate controller utilizes the well-known structural similarity index (SSIM) as a quality metric to increase the visual quality of the output video. The proposed rate control algorithm is implemented in HEVC reference software and comprehensive experiments are executed to tune the fuzzy controllers and also to evaluate the performance of the algorithm. Experimental results show a high performance for the proposed algorithm in terms of rate control, visual quality, and rate-distortion performance. Manuscript profile
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  6 - Facial Images Quality Assessment based on ISO/ICAO Standard Compliance Estimation by HMAX Model
  Azamossadat Nourbakhsh Mohammad-Shahram Moin Arash  Sharifi
  10.7508/jist.2019.03.007
  Facial images are the most popular biometrics in automated identification systems. Different methods have been introduced to evaluate the quality of these images. FICV is a common benchmark to evaluate facial images quality using ISO / ICAO compliancy assessment algorit More

  Facial images are the most popular biometrics in automated identification systems. Different methods have been introduced to evaluate the quality of these images. FICV is a common benchmark to evaluate facial images quality using ISO / ICAO compliancy assessment algorithms. In this work, a new model has been introduced based on brain functionality for Facial Image Quality Assessment, using Face Image ISO Compliance Verification (FICV) benchmark. We have used the Hierarchical Max-pooling (HMAX) model for brain functionality simulation and evaluated its performance. Based on the accuracy of compliancy verification, Equal Error Rate of ICAO requirements, has been classified and from those with higher error rate in the past researches, nine ICAO requirements have been used to assess the compliancy of the face images quality to the standard. To evaluate the quality of facial images, first, image patches were generated for key and non-key face components by using Viola-Jones algorithm. For simulating the brain function, HMAX method has been applied to these patches. In the HMAX model, a multi-resolution spatial pooling has been used, which encodes local and public spatial information for generating image discriminative signatures. In the proposed model, the way of storing and fetching information is similar to the function of the brain. For training and testing the model, AR and PUT databases were used. The results has been evaluated by FICV assessment factors, showing lower Equal Error Rate and rejection rate, compared to the existing methods. Manuscript profile
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  7 - AI based Computational Trust Model for Intelligent Virtual Assistant
  Babu Kumar Ajay Vikram Singh Parul  Agarwal
  10.29252/jist.8.32.263
  20.1001.1.23221437.2020.8.32.7.3
  The Intelligent virtual assistant (IVA) also called AI assistant or digital assistant is software developed as a product by organizations like Google, Apple, Microsoft and Amazon. Virtual assistant based on Artificial Intelligence which works and processes on natural la More

  The Intelligent virtual assistant (IVA) also called AI assistant or digital assistant is software developed as a product by organizations like Google, Apple, Microsoft and Amazon. Virtual assistant based on Artificial Intelligence which works and processes on natural language commands given by humans. It helps the user to work more efficiently and also saves time. It is human friendly as it works on natural language commands given by humans. Voice-controlled Intelligent Virtual Assistants (IVAs) have seen gigantic development as of late on cell phones and as independent gadgets in individuals’ homes. The intelligent virtual assistant is very useful for illiterate and visually impaired people around the world. While research has analyzed the expected advantages and downsides of these gadgets for IVA clients, barely any investigations have exactly assessed the need of security and trust as a singular choice to use IVAs. In this proposed work, different IPA users and non-users (N=1000) are surveyed to understand and analyze the barriers and motivations to adopting IPAs and how users are concerned about data privacy and trust with respect to organizational compliances and social contract related to IPA data and how these concerns have affected the acceptance and use of IPAs. We have used Naïve Byes Classifier to compute trust in IVA devices and further evaluate probability of using different trusted IVA devices. Manuscript profile
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  8 - An ICT Performance Evaluation Model based on Meta-Synthesis Approach
  Khatrehe Bamary Mohammad Reza Behboudi Tayebeh Abbasnjad
  10.52547/jist.16445.10.39.229
  20.1001.1.23221437.2022.10.39.8.2
  Information and Communication Technology (ICT) is one of the key determinants for today’s organizational success. Therefore, companies spend a significant amount of money each year on ICT, while not being sure that they will get a good result. The purpose of this study More

  Information and Communication Technology (ICT) is one of the key determinants for today’s organizational success. Therefore, companies spend a significant amount of money each year on ICT, while not being sure that they will get a good result. The purpose of this study is to identify the dimensions and indicators of ICT performance evaluation and suggesting a model for assessing it in organizations. This research is mainly a qualitative study with a meta-synthesis approach which uses the seven-stage qualitative method of Sandelowski and Barroso to systematically review the literature to find sub-indices (codes), indices (themes) and dimensions (categories) of ICT performance evaluation. The search of scientific databases with appropriate keywords found 516 articles, among them, 89 articles were chosen finally and used for analysis. Moreover, a questionnaire has been designed and answered by ICT experts and managers to determine the importance of each of the indicators of the model. Based on data analysis, the proposed ICT performance evaluation model has three dimensions: strategic, quality, and sustainability. The strategic dimension includes indicators of organization strategy, IT strategy, and alignment. The quality dimension includes maturity, and performance indicators; and finally, the sustainability dimension includes environmental, economic, and social indicators. For each of these indicators detailed list of sub-indices (104), which are substantial for evaluation of ICT performance in organizations, were identified and explained. Manuscript profile