2,211 research outputs found
Influencing Factors on Customer Satisfaction and Repurchase Intention Towards Moony and Myint Mo Online Shopping (May Thu Win Saung, 2025)
No full textThis study aims to investigate the factors affecting online shopping that influence
customer satisfaction, to explore how customer satisfaction impacts repurchase intention,
to evaluate the moderating role of relationship commitment on the connection between
customer satisfaction and repurchase intention, and to assess the moderating role of
switching costs on the link between customer satisfaction and repurchase intention in
relation to Moony and Myint Mo Online Shopping. This study utilizes both primary and
secondary data. Primary data were gathered from 377 customers of Moony and Myint Mo
Online Shopping through a systematic random sampling technique. Data will be gathered
from every 5th customer who buys a product from the Moony and Myint Mo online store.
A structured questionnaire utilizing a 5-point Likert scale is employed to gather primary
data through an online survey approach. Secondary data is collected from earlier research
studies, websites, and various other relevant sources. Descriptive statistics and regression
analysis are employed to examine the data. The regression analysis indicates that
information quality, product diversity, delivery, pricing, and reputation positively and
significantly influence customer satisfaction. There is no moderating influence of
relationship commitment and switching costs on customer satisfaction. Moony and Myint
Mo Online Shopping ought to effectively handle and encourage favorable customer
feedback on various platforms, including Facebook, Google, and online marketplaces
Application-aware Traffic Engineering in Software Defined Networking
No full textThe integration of control and data planes into the same devices and lack theglobal centralization control that made the traditional networks may not meet therequirements of the emerging cloud computing, the tactile Internet, and the Internet ofThings (IoT) technology. Moreover, the traditional networks cannot provide thecomplexity of control protocols, complex traffic engineering (TE) tasks, andinterconnecting of a huge number of smart devices. Software Defined Networking(SDN) is an architecture that overcomes the above issues of the traditional networks bytaking advantage of global centralization control, decouples of the control and dataplanes, and enabling innovation through the network programmability.The shortest path-based routing cannot guarantee future traffic demandsbecause the routing only uses the minimum hop counts. The application-aware routingis more efficient than the traditional shortest path-based routing; however, classificationof application traffic and estimation of QoS parameters like link utilization and linkdelay are needed to perform such kind of routing. By taking the advantage of SDN,application-aware traffic engineering can perform more effectively in SDNenvironments.This dissertation presents an application-aware traffic engineering (App-TE) inSDN which generally involves three main modules: traffic classification, trafficmeasurement, and traffic management. Application traffic flows classified into thefollowing two classes: prioritized application traffic and non-prioritized applicationtraffic by using port number and protocol number with the help of traffic analyzer(sFlow-RT). The classified traffic flows are fed to the traffic measurement module tocalculate the link utilization, link delay, and Delay Weighted Capacity (DWC) values.Finally, prioritized application traffic flows are routed by using the DWC-aware routingand non-prioritized application traffic flows are routed by using shortest path routing(or) minimum hop-count based routing. The experimental results demonstrated that theaverage throughput results of the proposed App-TE outperformed the shortest pathrouting and LU-aware routing
Comparative evaluation of power loss in HVAC and HVDC transmission systems
No full textWorld energy consumption rate is ascending consistently over the past few decades and it is expected to continue rising in the future. Researches on renewable energy sources have been carried out and ways to reduce energy consumption and energy wastage have been discussed and studied to tackle the world’s power shortage problems. Therefore, this project presents a comparison of power loss for various transmission systems. Two different transmission systems are analysed in this project; HVAC and HVDC. High Voltage Alternating Current (HVAC) transmission system and High Voltage Direct Current (HVDC) transmission systems are simulated in PSCAD software. The major components; transmission station, transformer and transmission line are investigated to evaluate their influence on the power loss. The cable length is also varied to analyse its effect in term of power loss on these two transmission systems. The experimental findings and analysis are presented in this project. The research presented in this project identifies the key sources of power loss while transmitting power from generator to load through HVAC and HVDC transmission systems. These findings will ultimately assist in accessing the design and analysis on economic feasibility of the transmission system.Bachelor of Accountanc
An analysis of the desire to make radiation measurements and to dialogue with experts among the residents of Tomioka town, Fukushima Prefecture: about the implementation of the co-expertise process
No full textNagasaki University (長崎大学)博士(医学)The article presents a contribution concerning the desire to make radiation measurements and to dialogue with experts among the residents of Tomioka town close to the Fukushima Daiichi Nuclear Power Plant in Japan at the time of the lifting of the relocation order in 2017. Relying on data from a questionnaire conducted at the same time with approximately 8000 residents aged 20 years or older who lived in Tomioka before the accident, a logistic regression analysis was performed to identify retrospectively the factors having driven these desires. The results shed some light on the motivation of affected people to engage in the co-expertise process implemented in Tomioka by experts from Nagasaki University and local authorities. In essence there are two significant results: (i) the people who have the desire to make radiation measurements are those who are reluctant to eat foods produced in the town and who already had an experience of radiation measurement, (ii) the people who have the desire to dialogue with experts about radiation exposure and health effects are above 60 years old and are reluctant to eat foods produced in the town and to drink tap water. In both cases people can imagine living in Tomioka now and in the future. Perspectives regarding future research are envisaged.長崎大学学位論文 学位記番号:共博(医歯薬)甲第54号 学位授与年月日:令和7年9月19日Author: W. Thu Zar, H. Matsunaga, X. Xiao, J. Lochard, M. Orita, N. TakamuraCitation: Radioprotection, 58(2), pp.79-89; 2022Nagasaki University (長崎大学), 博士(医学) (2025-09-19)doctoral thesi
Natural Scene Interactive Segmentation Using Edge Detection and Maximal Similarity Region Merging
No full textA fundamental problem in image processing isimage segmentation. The conventional imagesegmentation methods, to some extent, all suffer fromthe problem of inaccurate segmentation. A slightlyeasier and more approachable problem, interactivesegmentation, has also received a lot of attentions overthe years. In this paper, we propose a fast and simpleinteractive image segmentation technique. Thissegmentation process is conducted in two modules.First, the original image is detected by canny edgedetection method. Second, the object ofinterest issegmented by using the region merging based onmaximal similarity. In this work, color feature is usedto measure the closeness between two regions andaccordingly the label of the unmarked region isdecided. The proposed method extracts the object fromthe complex background in the image. Theeffectiveness of the proposed method is validated byexperimental results and compared with other method
Efficient Interactive Segmentation using Modified Maximal Similarity Region Merging
No full textInteractive image segmentation has manyapplications in image processing, computervision, computer graphics and medical imageanalysis. In medical applications, imagesegmentation is a fundamental process in mostsystems that support medical diagnosis, surgicalplanning and treatments. In many editing tasks,the aim is to separate a foreground object fromits background. Therefore, we propose a fast andsimple interactive image segmentation techniquein this paper. The proposed methodautomatically merges the regions that areinitially segmented by mean shift segmentation,and then effectively extracts the object contourby labeling all the non-marker regions as eitherbackground or object. Moreover, manyexperiments are tested and the results show thatthe proposed method is faster than the existingmethod. Therefore, the proposed method iseffective and can quickly and accurately segmentfor both medical and natural scene images with ease
Web-based Decision Support System with Group Buying using Analytic Hierarchy Process
No full textIn electronic market places, group buying is seen as an effective form of electronic commerce. When buyers cooperate with each other, a seller can discount the price of a good. In existing group buying sites, each buyer preference may not be reflected effectively. This system implements a decision support system (DSS) for group buying based on buyer’s preferences. DSS is an interactive system that provides the user with easy access to decision models and data in order to support semi-structure and/or unstructured decision making task. This system is intended to develop a computerized system for some functions of house trading. The aim of this paper is to develop the web-based decisions support system for house selection using Analytical Hierarchical Process (AHP). The AHP appears to be a flexible decision making tool for multi-criteria problems such as selection of the best house
The relationship between in situ and invasive melanoma: An epidemiological study of melanoma in New Zealand, 2001-2017
No full textFull Text is available to authenticated members of The University of Auckland only.Background:
Melanoma is diagnosed as either in situ or invasive disease. The relationship between in situ and invasive melanoma is unclear. If every in situ lesion is an early stage of invasive melanoma, diagnosis and removal of in situ melanoma should reduce the incidence of invasive melanoma and ultimately mortality from this disease. However, if disease progression is more complex, the excision of an early lesion may not prevent more advanced disease and may represent overdiagnosis.
Aim:
To compare the epidemiology of in situ melanoma and invasive melanoma in order to obtain a better understanding of the natural history of these diseases and their relationship to each other.
Method:
A systematic review (Part I) was carried out to describe the methods and results of published epidemiological studies that have compared the incidence, trends and characteristics of in situ and invasive melanoma.
A population-based cohort study (Part II) of people identified from the New Zealand Cancer Registry (NZCR) who had been diagnosed with either in situ or invasive melanoma between 2001 and 2017 was conducted. The in situ and invasive melanoma data were compared in terms of incidence of the two disease, trends and key patient’s characteristics (age at diagnosis, sex, body site, ethnicity and geography). In addition, the risk of invasive melanoma among those with in situ melanoma was assessed with survival analysis and observed and expected invasive melanoma were compared in this subgroup.
Results:
The systematic review noted a wide use of age-standardised incidence rate and annual percentage change to describe the incidence trend of in situ and invasive melanoma. Various univariate and multivariate analysis methods were employed to determine the similarities or differences between in situ and invasive melanoma by patient characteristics. The systematic review found a dramatic increase in the incidence of in situ melanoma with
no obvious decline in that of of invasive melanoma globally. Patients with in situ melanoma tended to be younger than those with invasive melanoma, and there were differences in in situ and invasive melanoma by ethnicity for incidence trends, but no consistent patterns in the two conditions were observed by sex or body site.
In New Zealand, the incidence of in situ melanoma was found to have increased annually by 3.77% whereas that of invasive melanoma was relatively stable over the study period (annual increase 0.04%). In situ and invasive melanoma were similar in terms of patient sex and ethnicity, but differed by body site. It was difficult to compare in situ and invasive melanoma by age at diagnosis because this was highly influenced by body site and sex. The observed risk of invasive melanoma among patients with in situ melanoma was four times higher than that expected among the general population. The cumulative risk of invasive melanoma among patients with in situ melanoma was 5.6% at 5 years and 9.46% at 10 years.
Conclusion:
The relationship between in situ and invasive melanoma is complex. Not every in situ lesion was a precursor of invasive melanoma, but some did progress to invasive lesions
QoS-aware Traffic Management in Software Defined Networking
No full textSoftware defined networking (SDN) provides effective traffic management solution by separating control and data planes, global centralization control, and being programmable. And, the traditional shortest path routing cannot provide effective traffic engineering because it only aware shortest path. The constraint-aware routing is more efficient than the traditional shortest path routing, however, it needed to estimate constraints such as link capacity, delay, jitter, and so on and it cannot guarantee the future traffic demands. This paper proposed QoS-aware traffic management method in SDN to guarantee the QoS-aware traffic by selecting the optimal path based on the estimated constraints. First, the proposed traffic management method categorized traffic classes: QoS-aware traffic and non QoS-aware traffic classes. Then, the proposed method estimated the QoS parameters and calculated the optimal path based on the estimated parameters. Finally, the QoS-aware traffic routed with the optimal path and non QoS-aware traffic simply routed through the shortest path. The proposed method is validated by using network emulator, Mininet and SDN controller, ONOS. The experiment results of throughput and packet loss show that our proposed method outperformed the other two traffic management methods
Digital Signature using RSA and MD5 Algorithms
No full textNowadays, the security of the information exchangedis very important. In this paper, MD5 is used for computing thehash value of the message and RSA is used for signing themessage and verifying the digital signature. When as senderwishes to send a signed message to a receiver , the senderrequests a certificate to the trusted Certification Authority. Thesender hashes the plaintext and signs the hashed message withsender’s private key to form a digital signature and encrypts theplaintext with receiver’s public key and sends the ciphertext andsignature . The receiver decrypts the ciphertext and hashes theplaintext with the same hash function from the signature. If theresults are exactly equal, the signature is valid and the receivercan read the message from the sender
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