• Proceedings of the IEEK Conference
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• 2008.06a
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• pp.797-798
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• 2008

Visual quality of video telephony over 3G networks is not satisfactory due to limited bandwidths. Therefore, it is worthwhile to enhance subjective visual quality based on ROI coding. In this paper, we propose a rate-control algorithm for video telephony with ROI based H.264|AVC coding. The QP values are increasingly assigned in non-ROI away from the ROI so that graceful degradation of visual quality can be achieved, which is more visually pleasant.

• Journal of Advanced Navigation Technology
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• v.15 no.1
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• pp.76-82
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• 2011

Most previous work on network selection in heterogeneous wireless networks has concentrated on the quality of the network alone. Therefore, users are not satisfied with network quality based network selection due to different user preferences. To solve this problem, we proposes a QoE-aware network selection algorithm that is based on the consumption patterns of user preferences which is divided into normal user, cost-sensitive user, quality-sensitive user and video quality as well as network quality. As a result of experiments, cost-sensitive user and quality-sensitive user are satisfied with enhanced QoE by 36% and 3% from the proposed network selection algorithm compared to the normal user, respectively.

• Journal of Korean Society for Quality Management
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• v.29 no.3
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• pp.97-108
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• 2001

The information system for measuring and analyzing service quality of telephone network is designed on the service quality scheme recommended by ITU(International Telecommunication Union) in this study. The information system is composed of the equipments which measure service quality and the systems which analyze the measured data. The schedule algorithm for effectively operating measurement equipments which are located over public switched telephone network is proposed. The functions of the Information system are Introduced. The information system improves the service quality effectively.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.11
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• pp.5218-5228
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• 2012

The aim of this study is to classify the social network types among elderly people with dementia, and to examine the relationship of network type to quality of life. This is to identify influence of social network on quality of life of elderly people with dementia. And the study seeks to identify the differences of quality of life among types of social network. The data of 222 elderly people used in this study were collected from the health center and elderly people with dementia living in the community. The interview was conducted from July 17 to August 31 in 2012 using a structured questionnaire. Descriptive statistics, one way ANOVA, multiple regression analysis and also cluster analysis with the SPSS 18.0 program were used to analyze the data. As a results, three network types were classified.:(1) inactive isolated, (2) active independent (3) inactive dependent networks. Respondents in the different network type are found to have different degrees of quality of life. Respondents inactive independent network is reported to have the highest quality of life, while those with inactive isolated network are the lowest. The results of the study suggest that the classification of network types allows consideration of the interpersonal environments of elderly people with dementia. The relative effects on quality of life for elderly people with dementia, evident in the current analysis, are the case in point. Therefore Social service programs should focus on different groups based on social network type.

• Journal of Digital Convergence
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• v.18 no.9
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• pp.159-167
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• 2020

This study was intended to examine how the job stress of enterpriser affects decision quality when they make rational decision making, and to empirical analysis on whether decision quality can be enhanced through corporate network and absorption capacity. For this purpose, 356 survey data were collected from small business enterpriser and analyzed using SPSS v.25 and AMOS v.24. Studies have shown that among job stress, challenging stress has positive(+) influence on decision quality, disturbing stress has negative(-) influence on decision quality, and both corporate network and absorption capacity have positive(+) influence on decision quality. In addition, challenge stress and hindrance stress have been shown to have a positive(+) influence on decision quality through corporate network and absorption capacity. These findings confirmed that the challenge factors of job stress had a positive effect on decision quality, and confirmed that the corporate network and absorption capacity were important factors in enhancing decision-making products. As such, conclusions were discussed and implications and directions for follow-up studies were presented.

• Journal of Digital Contents Society
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• v.14 no.2
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• pp.223-233
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• 2013

This paper studied the effects of service quality and system quality that affect customer's satisfaction and continued usage intention regarding mobile network conditions. The hypotheses and research models were completed using research factors of service quality(reactivity, empathy) and system quality(connectivity, ease of use, channel-mobility) borrowed from previous studies on DMB and IPTV. The hypotheses and research models were verified through experiments and surveys. The key finding showed that customer's expectation on service quality and system quality under fast network(Wifi) was higher than that of under slow network(3G). Furthermore, it showed that users react more sensitive to service quality than to system quality such as network speed. Based on the results, this study has the implication for expanding the understanding of the factors used in previous DMB and IPTV studies by applying them in N-screen domain.

• IEMEK Journal of Embedded Systems and Applications
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• v.4 no.1
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• pp.35-41
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• 2009

The H.264/SVC enables network-adaptive video transmission to smart device which uses wireless network. But, quality scalability of H.264/SVC does not consider personal subjective image quality. In addition, its network efficiency also does not optimized because it uses MGS(Medium Grained Scalability) and CGS(Coarse Grained Scalability). Thus, this paper proposed a new scalable ROI algorithm for not only subjective image quality improvement but also network adaptation. To experiment our proposed a scheme, we added designed algorithm to JSVM(Joint Scalable Video Model) open source video codec of H.264/SVC. Experiment was performed according to the pre-defined scenario for simulating various network conditions. Finally, experimental result showed our proposed scalable ROI scheme. It is better than traditional non-selective scheme in subjective video quality.

• Journal of Information Processing Systems
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• v.19 no.6
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• pp.817-829
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• 2023

Variable wireless channel is a big challenge for real-time video applications, and the rate adaptation of realtime video streaming becomes a hot topic. Intra-video coding is important for high-quality video communication and industrial video applications. In this paper, we proposed a novel adaptive scheme for real-time video transmission with intra-only coding over a wireless network. The key idea of this scheme is to estimate the instantaneous remaining capacity of the network to adjust the quality of the next several video frames, which not only can keep low queuing delay and ensure video quality, but also can respond to bandwidth changes quickly. We compare our scheme with three different schemes in the video transmission system. The experimental results show that our scheme has higher bandwidth utilization and faster bandwidth change response, while maintaining low queuing delay.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.1
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• pp.46-63
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• 2024

One of the biggest dangers in the globe is water contamination. Water is a necessity for human survival. In most cities, the digging of borewells is restricted. In some cities, the borewell is allowed for only drinking water. Hence, the scarcity of drinking water is a vital issue for industries and villas. Most of the water sources in and around the cities are also polluted, and it will cause significant health issues. Real-time quality observation is necessary to guarantee a secure supply of drinking water. We offer a model of a low-cost system of monitoring real-time water quality using IoT to address this issue. The potential for supporting the real world has expanded with the introduction of IoT and other sensors. Multiple sensors make up the suggested system, which is utilized to identify the physical and chemical features of the water. Various sensors can measure the parameters such as temperature, pH, and turbidity. The core controller can process the values measured by sensors. An Arduino model is implemented in the core controller. The sensor data is forwarded to the cloud database using a WI-FI setup. The observed data will be transferred and stored in a cloud-based database for further processing. It wasn't easy to analyze the water quality every time. Hence, an Optimized Neural Network-based automation system identifies water quality from remote locations. The performance of the feed-forward neural network classifier is further enhanced with a hybrid GA- PSO algorithm. The optimized neural network outperforms water quality prediction applications and yields 91% accuracy. The accuracy of the developed model is increased by 20% because of optimizing network parameters compared to the traditional feed-forward neural network. Significant improvement in precision and recall is also evidenced in the proposed work.

• International Journal of Computer Science & Network Security
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• v.23 no.6
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• pp.176-180
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• 2023

Aim of this study to examine the mediating role of network service between perceived quality, retailer service and customer satisfaction during COVID-19. Primary data gathered through adopted questionnaire from previous studies and 200 university students were asked to fill online questionnaire during COVID-19 situation in country. Structural Equation Modelling technique applied in order to test the proposed hypothesis generated from existing literature review. Findings revealed full mediation effect of network service for both perceived quality and retailer service on customer satisfaction during COVID-19. New insights of this study are key role of network services is identified and university students' satisfaction is measured for online classes in developing country, Pakistan. In future serial mediation is suggested for validity of existing results in developed and developing countries.