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Performance Analysis of Buffer Aware Scheduling for Video Services in LTE Network
( Meng-hsien Lin ),( Yen-wen Chen ) 한국인터넷정보학회 2015 KSII Transactions on Internet and Information Syst Vol.9 No.9
Recent advancements in broadband wireless communication technologies enable mobile users to receive video streaming services with various smart devices. The long term evolution (LTE) network provides high bandwidth and low latency for several emerging mobile applications. This paper proposes the buffer aware scheduling (BAS) approach to schedule the downlink video traffic in LTE network. The proposed BAS scheme applies the weighting function to heuristically adjust the scheduling priority by considering the buffer status and channel condition of UE so as to reduce the time that UE stays in the connected state without receiving data. Both of 1080P and 2160P resolution video streaming sources were applied for exhaustive simulations to examine the performance of the proposed scheme by comparing to that of the fair bandwidth (FB) and the best channel quality indicator (CQI) schemes. The simulation results indicate that the proposed BAS scheme not only achieves better performance in power saving, streaming delivery time, and throughput than the FB scheme while maintaining the similar performance as the best CQI scheme in light traffic load. Specifically, the proposed scheme reduces streaming delivery time and generates less signaling overhead than the best CQI scheme when the traffic load is heavy.
Hsien-Ming, Shih,Feng Lin,Wen-Tsann Lin,Ching-Hsin Wang,Meng-Hua Li 대한산업공학회 2015 대한산업공학회 추계학술대회논문집 Vol.2015 No.11
In this study, consumers’ perceived value of branded products is regarded as their overall evaluation of the brand according to currently available information. When consumers develop favorable perceived value for a brand, their satisfaction with the brand’s product increases accordingly, thus prompting purchase behavior. This study adopted a reliability and path analysis to test the research hypotheses. The findings of this study indicate that perceived value positively influences customer satisfaction, and customer satisfaction positively influences purchase behavior. However, perceived value does not significantly influence purchase behavior.
Yu-Lin Hsieh,Hsien-Tsung Yao,Ron-Shan Cheng,Meng-Tsan Chiang 한국식품영양과학회 2012 Journal of medicinal food Vol.15 No.5
Chitosan is a natural product derived from chitin. To investigate the hypoglycemic and anti-obesity effects of chitosan, male Sprague–Dawley rats were divided into four groups: normal control, diabetic, and diabetic fed 5% or 7%chitosan. Diabetes was induced in rats by injecting streptozotocin/nicotinamide. After 10 weeks of feeding, the elevated plasma glucose, tumor necrosis factor-a, and interleukin-6 and lower adiponetin levels caused by diabetes were effectively reversed by chitosan treatment. In addition, 7% chitosan feeding also elevated plasma glucagon-like peptide-1 levels and lowered the insulin resistance index (homeostasis model assessment) in diabetic rats. Lower adipocyte granular intensities and higher lipolysis rates in adipose tissues were noted in the 7% chitosan group. Moreover, chitosan feeding reduced hepatic triglyceride and cholesterol contents and increased hepatic peroxisomal proliferator-activated receptor a expression in diabetic rats. Our results indicate that long-term administration of chitosan may reduce insulin resistance through suppression of lipid accumulation in liver and adipose tissues and amelioration of chronic inflammation in diabetic rats.
Study of Data Placement Schemes for SNS Services in Cloud Environment
( Yen-wen Chen ),( Meng-hsien Lin ),( Min-yan Wu ) 한국인터넷정보학회 2015 KSII Transactions on Internet and Information Syst Vol.9 No.8
Due to the high growth of SNS population, service scalability is one of the critical issues to be addressed. The cloud environment provides the flexible computing and storage resources for services deployment, which fits the characteristics of scalable SNS deployment. However, if the SNS related information is not properly placed, it will cause unbalance load and heavy transmission cost on the storage virtual machine (VM) and cloud data center (CDC) network. In this paper, we characterize the SNS into a graph model based on the users` associations and interest correlations. The node weight represents the degree of associations, which can be indexed by the number of friends or data sources, and the link weight denotes the correlation between users/data sources. Then, based on the SNS graph, the two-step algorithm is proposed in this paper to determine the placement of SNS related data among VMs. Two k-means based clustering schemes are proposed to allocate social data in proper VM and physical servers for pre-configured VM and dynamic VM environment, respectively. The experimental example was conducted and to illustrate and compare the performance of the proposed schemes.
The back contact modification in high-efficiency Cu₂ZnSn(S,Se)₄ solar cells by a thin MoO₃ layer
Septia KHOLIMATUSSADIAH,Cheng-Ying CHEN,Wei-Chao CHEN,Yi-Rung LIN,Shao-Hung LU,Meng-Chia HSIEH,Jan-Kai CHANG,Chih-I WU,Ruei-San CHEN,Kuei-Hsien CHEN,Li-Chyong CHEN 한국진공학회 2016 한국진공학회 학술발표회초록집 Vol.2016 No.8