Priority of Factors Affected on Customer＇s Satisfaction in the E-Banking by Using Kano Model and Analytical Hierarchy Process： A Case of Iranian Commercial Bank

The aim of the article is to determine the extent to which customer satisfaction＇s in the e-banking in Semnan area had organizational and customer readiness for developing their services. One of the most important sectors that plays key role for grasping developed condition is banking sector. Banks like other institutions also look for augmenting their profits and increasing their strength by expansion. The designing of bank must involve selection of those that have sufficient success potential. Hence, from several factors of success, the following three criteria factors have been： selected-customer satisfied, one dimensional, and product fully functional. These factors offers three question multi criteria group extracted from a 16 norms. Also, three criteria factors have been studied over a period of five years and important criteria for evaluating the norms. The Analytical Hierarchy Process （AHP） has been employed to calculate the success potential of each norm. The empirical data comprises the longitudinal survey of the agricultural banking of the Semnan province. The paper, also, finds that product fully functional is placed as the first priority.

Critical care nurses and their clinical reasoning for customizing monitor alarms:a mixed-method study

Objective:To explore the clinical rationale of critical care nurses for personalizing monitor alarms.One of the most crucial jobs assigned to critical care nurses is monitoring patients'physiological indicators and carrying out the necessary associated interventions.Successful use of equipment in the nursing practice environment will be improved by a thorough understanding of the nurse's approach to alarm configuration.Methods:A mixed-method design integrating quantitative and qualitative components was used.The sample of this study recruited a convenience sample of 60 nurses who have worked in critical care areas.This study took place at Lebanese American University Medical Center Rizk Hospital,utilizing a semi-structured interview with participants.Results:The study demonstrated the high incidence of nuisance alarms and the desensitization of critical care nurses to vital ones.According to the nurses,frequent false alarms and a shortage of staff are the 2 main causes of alarm desensitization.Age was significantly associated with the perception of Smart alarms,according to the data(P=0.03).Four interconnected themes and subcategories that reflect the clinical reasoning process for alarm customization were developed as a result of the study's qualitative component:(1)unit alarm environment;(2)nursing style;(3)motivation to customize;and(4)clinical and technological customization.Conclusions:According to this study,nurses believe that alarms are valuable.However,a qualitative analysis of the experiences revealed that customization has been severely limited since the healthcare team depends on nurses to complete these tasks independently.Additionally,a staffing shortage and lack of technical training at the start of placement have also hindered customization.

Exploring a Deep Analysis Method for “Click-Stream” Information from the Perspective of the Flow of Bidirectional Value of Customer Relations Based on Ricoeur's Hermeneutic Theory

Click-streams of online shopping are the tracks/trails of interactions between a customer and a vendor.We observe that it is of great importance both in theory and practice to explore a deep analysis method for analyzing click-stream information of an individual customer in a specific transaction for understanding the bidirectional value transfer within the machine-human interaction of an online store and for its personalization.We analyze the significance,the hierarchical structure and the characteristics of click-stream information and propose that Ricoeur's hermeneutic theory be the foundation of forming such a deep analysis method.Then we use the empirical context information of the click-stream to improve the naive interpretation put forward by Ricoeur.Moreover,we apply the Grounded Theory to extend the deep analysis of Ricoeur's theory of textual interpretation.The improved theory fits well with the needs of interpretation and the analysis of click-stream information.We exemplify and show the feasibility of this analysis method by using data collected(a single case)from a large study of human-computer interaction.

Customer Retention: Behaviour Perspective Model of Ghanaian Telecommunication Industry Using Multinomial Regression Analysis

To stay competitive, the mobile telecommunication companies spend millions of Ghana cedi each year on building long-term relationships with their customers. Marketing managers are constantly challenged with the problem of where to channel the limited resources in order to retain existing customers. This study approaches the customer retention problem in the mobile phone sector from a behavioural perspective, applying the Behavioural Perspective Model as the main analytical framework and further exploits some other factors that influence customer retention. The model includes a set of pre-behaviour and post-behaviour factors to study consumer choice, and explains its relevant drivers in a viable and comprehensive way, grounded in radical behaviourism. Data for the analysis were collected from tertiary students from Accra and Takoradi. Data collected were analysed using the multinomial regression technique. Analysis of the data revealed that the Behaviour setting factor is the only significant element in Behaviour Perspective Model. Further exploitation of behaviour situation revealed that the number of networks a customer uses, previous experience of a customer and customer’s intention are significant factors in determining customer retention in Ghana’s mobile telecommunication industry.

Research on customer-oriented product configuration technology of aircraft

Due to the defects of current aircraft product configuration technology, such as the gap between product design and cus- tomers＇ requirements, the low configuration efficiency and etc. a customer-oriented product configuration solution of aircraft was proposed in this paper. Basing on a deep investigation into the market and the structure of the aircraft, this paper proposed a method of dividing and creating the aircraft options, in which we set up optional constraints to meet the demand of configuration and then optimized the constraint algorithm. This work can help to realize the optimum association between the aircraft options and modules. Basing on a research on customer demand, The paper established a customer demand model and a mapping relationship which exists between customer demand and aircraft options, It can also help to make a great contribution to build customer personalized demand of the aircraft configuration orocess and the aircraft confimiration library.

U.S.Cotton Industry Continuing Dialogue on Quality with No.1 Customer

MEMPHIS-A National Cotton Council delegation traveling to Beijing on June 19-30 will make a number of visits with key Chinese officials to:1)provide updates on the U.S. cotton industry’s efforts to improve its cotton quality and 2) ascertain its Chinese textile customers’needs.

基于IoT-cloud和B/S架构的心电远程监测系统的设计与实现

目的:设计一种基于云物联网(IoT-cloud)和B/S架构的心电远程监测系统。方法:该系统使用消息队列遥测传输(Message Queuing Telemetry Transport,MQTT)消息中间件实现心电终端的数据传输,采用WebSocket技术实现监测端的数据接收,Java-MVC框架进行业务逻辑处理,Python进行算法处理。结果与结论:整个系统实现了前端、后端和算法的分离,维护简便。医院端基于浏览器进行操作,不需要配置专门的软件和服务器。测试结果表明,系统运行稳定,具有较强的实用性。

RMSCloud与科技文献云服务

在对云计算相关功能定义进行研究和分析的基础上，针对科技文献的云服务需求结合云计算的相关应用，介绍RMSCloud的相关核心技术及特点。最后基于RMSCloud对科技文献云服务应用的集成系统架构进行阐述。

Social Manufacturing for High-end Apparel Customization

Social manufacturing(SM), a novel distributed,collaborative and intelligent manufacturing mode, is proposed and developed for high-end apparel customization. The main components of SM cloud are designed, and its research topics are summarized. Then, SM's key technologies are studied. 3D technologies for apparel customization, like 3D modeling, 3D fitting mirror and 3D customization, are developed to improve the customization precision and user experience. Information based collaborative management is realized to share, communicate,and handle the information efficiently among all groups and individuals of SM cloud. Suppliers' evaluation mechanism is designed to support the optimal decisions making. Next, SM cloud is constructed in five layers for high-end apparel customization.By using SM cloud based crowd-sourcing, social resources can be allocated rationally and utilized efficiently, consumer can customize the product in any processes like innovation, design,making, marketing and service, and traditional apparel enterprise can be upgraded into SM mode for keeping it competitive in the future customization markets.

Customization Product Design Based on User's Emotion and Needs

The paper presents a design method that ensures the ingenuity of the product form as well as the whole and exact expression of user’s needs. The key idea is to establish an automatic design system which can transform the user’s language needs into the product features in real-time. A rifle was taken as a research instance and soldiers were chosen as evaluation customers. The theory of fuzzy set and semantic difference are adopted to evaluate the relationship between user’s needs and product features as well as their alternatives. FAHP (fuzzy analytic hierarchy process) is utilized to judge the user’s satisfactory forms. This method can also be applied to other product form designs.

Service allocation based on QoS evaluation in military organization cloud cooperation

The problem of cloud cooperation of military service providers（MSPs） is addressed for allocating limited resources to military service users（MSUs） that are geographically distributed. The MSPs, also called military organization clouds, are virtualized and encapsulated by the services they can offer and each of them contains different kinds of resources that MSU needs. The MSPs are also geographically dispersed. They are required to allocate their resources to the MSU complying with the corresponding quality of service（QoS）, so that each MSU gathers the services it needs to guarantee its task to be implemented. The outline of military organization cloud cooperation is discussed and the method of service optimal selection is proposed based on QoS evaluation. The QoS evaluation method based on exponential approximation is put forward to include the users＇ will. Simulation results verify the effectiveness of the proposed algorithm.

Realization of -bit semiclassical quantum Fourier transform on IBM's quantum cloud computer

To overcome the difficulty of realizing large-scale quantum Fourier transform(QFT) within existing technology, this paper implements a resource-saving method(named t-bit semiclassical QFT over Z_(2~n)), which could realize large-scale QFT using an arbitrary-scale quantum register. By developing a feasible method to realize the control quantum gate Rk, we experimentally realize the 2-bit semiclassical QFT over Z_(2~3) on IBM's quantum cloud computer, which shows the feasibility of the method. Then, we compare the actual performance of 2-bit semiclassical QFT with standard QFT in the experiments.The squared statistical overlap experimental data shows that the fidelity of 2-bit semiclassical QFT is higher than that of standard QFT, which is mainly due to fewer two-qubit gates in the semiclassical QFT. Furthermore, based on the proposed method, N = 15 is successfully factorized by implementing Shor's algorithm.

User’s Relevance of PIR System Based on Cloud Models

A new method to evaluate fuzzily user＇s relevance on the basis of cloud models has been proposed. All factors of personalized information retrieval system are taken into account in this method. So using this method for personalized information retrieval （PIR） system can efficiently judge multi-value relevance, such as quite relevant, comparatively relevant, commonly relevant, basically relevant and completely non-relevant, and realize a kind of transform of qualitative concepts and quantity and improve accuracy of relevance judgements in PIR system. Experimental data showed that the method is practical and valid. Evaluation results are more accurate and approach to the fact better.

Flatness predictive model based on T-S cloud reasoning network implemented by DSP

The accuracy of present flatness predictive method is limited and it just belongs to software simulation. In order to improve it, a novel flatness predictive model via T-S cloud reasoning network implemented by digital signal processor(DSP) is proposed. First, the combination of genetic algorithm(GA) and simulated annealing algorithm(SAA) is put forward, called GA-SA algorithm, which can make full use of the global search ability of GA and local search ability of SA. Later, based on T-S cloud reasoning neural network, flatness predictive model is designed in DSP. And it is applied to 900 HC reversible cold rolling mill. Experimental results demonstrate that the flatness predictive model via T-S cloud reasoning network can run on the hardware DSP TMS320 F2812 with high accuracy and robustness by using GA-SA algorithm to optimize the model parameter.

PROVISIONS OF THE CUSTOMS OF THE PEOPLE’S REPUBLIC OF CHINA ON EXTERNAL AUDIT AND CERTIFICATE OF EXTERNAL AUDIT ISSUED RECENTLY BY THE GENERAL ADMINISTRATION OF CUSTOMS OF THE PEOPLE’S REPUBLIC OF CHINA

In accordance with the regulations as stipulated in the Pro-visions of the Customs of the People’s Republic of China on Ex-ternal Audit, the Customs officers engaged in external audit shalluse the Certificate of External Audit of the Customs (hereinafterreferred to as Certificate) as of June 5, 1997. The Certificate has ablack leather outer covering and is inlaid inside with a pierced andguilded customs emblem, which consists of the red national em-blem in its upper part, and a key and a truncheon encircled by earsof wheat in its lower part. Put in a leather covering, the Certificateis a card sealed up with plastics, on which there is a bareheadedcolour photo of the holder in the Customs uniform and with a

A Novel Stateful PCE-Cloud Based Control Architecture of Optical Networks for Cloud Services

The next-generation optical network is a service oriented network,which could be delivered by utilizing the generalized multiprotocol label switching(GMPLS) based control plane to realize lots of intelligent features such as rapid provisioning,automated protection and restoration(P&R),efficient resource allocation,and support for different quality of service(QoS) requirements.In this paper,we propose a novel stateful PCE-cloud(SPC)based architecture of GMPLS optical networks for cloud services.The cloud computing technologies(e.g.virtualization and parallel computing) are applied to the construction of SPC for improving the reliability and maximizing resource utilization.The functions of SPC and GMPLS based control plane are expanded according to the features of cloud services for different QoS requirements.The architecture and detailed description of the components of SPC are provided.Different potential cooperation relationships between public stateful PCE cloud(PSPC) and region stateful PCE cloud(RSPC) are investigated.Moreover,we present the policy-enabled and constraint-based routing scheme base on the cooperation of PSPC and RSPC.Simulation results for verifying the performance of routing and control plane reliability are analyzed.

The Top 5 Issues with the Top 5 Cloud Storage Services

A new survey by technical support website FixYa indicates that users of the top five cloud storage services are most concerned about capacity,security and missing files. A new survey by technical support website FixYa indicates that users of the top five cloud storage services are most concerned about capacity,security and missing files. FixYa asked users of its service about the top five issues cloud storage customers have with Dropbox,Google Drive,

Cloud Top Height Retrieval Using Polarizing Remote Sensing Data of POLDER

A retrieval method of cloud top heights using polarizing remote sensing is proposed in this paper. Using the vector radiative transfer model in a coupled atmosphere-ocean system, the factors influencing the upwelling linear polarizing radiance at top-of-atmosphere are analyzed, which show that the upwelling linear polarizing radiance varies remarkably with the cloud top height, but has negligible sensitivity with cloud albedo and aerosol scattering above the cloud layer. Based on this property, a cloud top height retrieval algorithm using polarizing remote sensing was developed. The algorithm has been applied to the polarizing remote sensing data of Polarization and Directionality of the Earth's Reflectances-2 (POLDER-2). The retrieved cloud top height from POLDER-2 compares well with the Moderate Resolution Imaging Spectroradiometer (MODIS) operational product with a bias of 0.83 km and standard deviation of 1.56 km.

Contribution of Ground-Based Cloud Observation to Satellite-Based Cloud Discrimination

One of the biggest factors to deteriorate the satellite product quality is cloud coverage. Therefore, cloud masking process is important to improve the quality of various satellite products. However, satellite-based cloud discrimination algorithm has been developing and efficient ground-based cloud observations are necessary to validate satellite-based cloud discrimination. The purpose of this study is to develop the efficient ground-based cloud observation methodology using whole sky camera. This paper deals with methods how to discriminate cloud portions on whole sky image, how to apply the ground-based cloud observation to the validations for satellite products. For the cloud discrimination on whole sky image, we propose SI （sky index） and BI （brightness index） calculated from RGB （red, green and blue） channels. SI shows the extent of the blueness and gray scale and BI indicates the extent of the brightness. Sun, cloud and blue sky portions are divided by SI and BI threshold. As an application of ground-based cloud observation for the validation of satellite products, clouds portions discriminated from whole sky image are projected onto ground surface with map coordinate. We also examine to compare with cloud portions on whole sky images and MODIS （MODerate resolution Imaging Spectroradiometer） image as one of experiments. The proposed ground-based cloud observation method and its extension to satellite-based cloud discrimination should be connected to improve the quality of satellite products.