海量结构化数据存储检索系统

Big Data是近年在云计算领域中出现的一种新型数据,传统关系型数据库系统在数据存储规模、检索效率等方面不再适用.目前的分布式No-SQL数据库可以提供分布式数据存储环境,但是无法支持多列查询.设计并实现分布式海量结构化数据存储检索系统(MDSS).系统采用列存储结构,采用集中分布式B+Tree索引和局部索引相结合的方法提高检索效率.在此基础上讨论复杂查询条件的任务分解机制,支持大数据的多属性检索、模糊检索以及统计分析等查询功能.实验结果表明,提出的分布式结构化数据管理技术和查询任务分解机制可以显著提高分布式条件下大数据集的查询效率,适合应用在日志类数据、流记录数据等海量结构化数据的存储应用场合.     

Toward the design of an intelligent DSS for forecasting

The emergence of decision support systems (DSS), artificial intelligence (AI), and microcomputers in the information systems arena provides managers with some new insights to the planning and control of a productive system.

This paper illustrates how an intelligent microcomputer-based decision support system (MDSS) was developed to support demand forecasting.     

Peer-to-peer bichromatic reverse nearest neighbours in mobile ad-hoc networks

The increasing use of mobile communications has raised many issues of decision support and resource allocation. A crucial problem is how to solve queries of Reverse Nearest Neighbour (RNN). An RNN query returns all objects that consider the query object as their nearest neighbour. Existing methods mostly rely on a centralised base station. However, mobile P2P systems offer many benefits, including self-organisation, fault-tolerance and load-balancing. In this study, we propose and evaluate 3 distinct P2P algorithms focusing on bichromatic RNN queries, in which mobile query peers and static objects of interest are of two different categories, based on a time-out mechanism and a boundary polygon around the mobile query peers. The Brute-Force Search Algorithm provides a naive approach to exploit shared information among peers whereas two other Boundary Search Algorithms filter a number of peers involved in query processing. The algorithms are evaluated in the MiXiM simulation framework with both real and synthetic datasets. The results show the practical feasibility of the P2P approach for solving bichromatic RNN queries for mobile networks.     

Information Sharing Among Disaster Responders - An Interactive Spreadsheet-Based Collaboration Approach

Recent natural disasters have led crisis management organizations to revise their protocols so as to rely on the contribution of a wider range of actors, including simple citizens as well as expert operators, to support decision making activities. Reliable and timely information sharing among members of distributed teams of disaster responders has become paramount for the success of the overall crisis management process. In this paper we propose a crisis management system based on spreadsheet-mediated collaboration among on-site responders and decision makers. To share data a common spreadsheet artifact has been developed by using a participatory design approach which is accessed through mobile user interfaces. The evaluation results showed that the use of the spreadsheet artifact has resulted in more effective decision making relating to set of earthquake management scenarios in high-risk areas located in Italy.     

Understanding factors influencing information communication technology adoption behavior: The moderators of information literacy and digital skills

Digital inequality is one of the most critical issues in the “information age”, few studies have examined the social inequality in information resources and digital use patterns. In the rural areas, such information communication technology (ICT) facilities could not guarantee that users can easily access information technology and overcome the so-called “digital divide.” This research aims to discover the psychological factors that influence information and communication technology (ICT) adoption behavior, as well as confirm whether “information literacy” and “digital skills” have moderator effects in the research model. Using a survey of 875 participants and a structural equation modeling approach, we find that task characteristics and social interaction improve media richness, media experience, and media technostress, which in turn enhance ICT adoption behavior. The proposed theoretical model shows that the impact of ICT adoption behavior is moderated by information literacy and digital skills. The findings of this research can offer guidelines for policy makers and educators who evaluate a community's ICT adoption behavior so as to provide proper access to ICT and promote its visibility by incorporating ICT in educational activities.     

Monitoring healthcare performance by analytic hierarchy process: a developing-country perspective

The formulation and solution of multi‐criteria healthcare decision problems is of critical importance to the health and socio‐economic betterment of developing countries. The study shows how the multi‐criteria decision‐making method could facilitate implementation of healthcare performance analysis, especially for the public healthcare system of Bangladesh, which operates mainly through thana health complexes (THCs). We include outreach services and rural facilities together with ongoing THC activities, and analyze their relative performance. The methodology uses a phase of the Delphi method and of the analytic hierarchy process (AHP) approach. The outcome of Delphi is used as input for the hierarchical processing procedure in AHP and determines performance order of the healthcare activities. Results from AHP are discussed for implementation in decision‐making and the managerial policymaking process, towards improvement of overall healthcare performance.     

Telehealth and ubiquitous computing for bandwidth-constrained rural and remote areas

The information and communication technology infrastructure available in rural and remote areas may often not have the bandwidth to support all types of telehealth applications; therefore, for example, some traditionally envisaged videoconferencing-based telehealth applications may not be able to be used or not used in their anticipated form at this time. While the level of broadband services available may impose limitations on these types of telehealth applications, in this review article, we identify applications that allow the maximizing of telehealth benefits in the presence of low-bandwidth connectivity and have potential benefits well-matched to rural and remote area healthcare challenges. In particular, we include consideration of how ubiquitous computing might potentially bring non-traditional approaches to telehealth that can also come into usage more immediately in bandwidth-constrained rural and regional areas. In this article, we review the benefits of ubiquitous computing for rural and remote telehealth including social media-based preventative, peer support and public health communication, mobile phone platforms for the detection and notification of emergencies, wearable and ambient biosensors, the utilization of personal health records including in conjunction with mobile and sensor platforms, chronic condition care and management information systems, and mobile device–enabled video consultation.     

Understanding patients’ trust toward community healthcare providers under different primary care settings in China: Impact of hospital ownership and registration mode

China is currently undertaking healthcare reform, and promoting general practitioner (GP) practice is a major improvement. The key to the success of the GP practice is whether or not patients are willing to accept and trust in GPs in community healthcare centers (CHCs). The objective of this study is to evaluate the impact of hospital ownership (public or private) and registration mode (registering with a CHC or a GP on patients’ trust in community health services. A user experiment was conducted, and 204 nonstudent participants were invited to finish simulated registration tasks in a self‐developed online registration system. Patients’ trust in CHCs, GPs, and GPs’ treatment outcomes was measured. The results indicated that patients had a significantly higher level of trust in private CHCs and private sector GPs, but they showed a higher level of trust in the treatment outcomes of public sector GPs due to the influence of their past medical experience seeing community doctors. The registration mode only influenced patients’ trust in GPs’ professional skills, that is, patients had a higher level of trust in GPs’ professional skills when registering with CHCs compared to registering with individual GPs.     

A secure web-based approach for accessing transitional health information for people with traumatic brain injury

A web-based transitional health record was created to provide regional healthcare professionals with ubiquitous access to information on people with brain injuries as they move through the healthcare system. Participants included public, private, and community healthcare organizations/providers in Eastern Ontario (Canada). One hundred and nineteen service providers and 39 brain injury survivors registered over 6 months. Fifty-eight percent received English and 42% received bilingual services (English-French). Public health providers contacted the regional service coordinator more than private providers (52% urban centres, 26% rural service providers, and 22% both areas). Thirty-five percent of contacts were for technical difficulties, 32% registration inquiries, 21% forms and processes, 6% resources, and 6% education. Seventeen technical enquiries required action by technical support personnel: 41% digital certificates, 29% web forms, and 12% log-in. This web-based approach to clinical information sharing provided access to relevant data as clients moved through or re-entered the health system. Improvements include automated digital certificate management, institutional health records system integration, and more referral tracking tools. More sensitive test data could be accessed on-line with increasing consumer/clinician confidence. In addition to a strong technical infrastructure, human resource issues are a major information security component and require continuing attention to ensure a viable on-line information environment.     

Forecasting smog-related health hazard based on social media and physical sensor

Smog disasters are becoming more and more frequent and may cause severe consequences on the environment and public health, especially in urban areas. Social media as a real-time urban data source has become an increasingly effective channel to observe people׳s reactions on smog-related health hazard. It can be used to capture possible smog-related public health disasters in its early stage. We then propose a predictive analytic approach that utilizes both social media and physical sensor data to forecast the next day smog-related health hazard. First, we model smog-related health hazards and smog severity through mining raw microblogging text and network information diffusion data. Second, we developed an artificial neural network (ANN)-based model to forecast smog-related health hazard with the current health hazard and smog severity observations. We evaluate the performance of the approach with other alternative machine learning methods. To the best of our knowledge, we are the first to integrate social media and physical sensor data for smog-related health hazard forecasting. The empirical findings can help researchers to better understand the non-linear relationships between the current smog observations and the next day health hazard. In addition, this forecasting approach can provide decision support for smog-related health hazard management through functions like early warning.     

Influences of time perspectives and perceived values on continuance intention to engage in social media amongst older adults for healthcare-related purposes

Universal Access in the Information Society - Although communicating healthcare information via social media is becoming more common, less is known about older adults who suffer from digital...     

Social media and online health services: A health empowerment perspective to online health information

This study investigates how differences in the use of online health information and social media affect the use of online health services. We attempt to predict the extent to which the use of social media and online health information prompt individuals to use online health services. We draw upon a combination of sociology and communication studies and integrate relational maintenance assumptions regarding the quality of online social relationships to promote the importance of health empowerment factors–socio-demographic characteristics, internet attitudes and health status models to predict the likelihood of using online health services. The study’s sample consists of 1406 individuals using the Internet, including 633 individuals using the Internet and social media to look for health information. The study’s results provide evidence that (a) online health information empowers most of the examined individuals to use online health services; (b) among all social media only those that offer consulting have a significant effect on the likelihood of using online health services. The implications of these findings support that a conceptual integration of CMC and social media use theories along with health empowerment assumptions, is a promising theoretical framework to test the effectiveness of social media use in prompting use of online health services. The practical applications for health management are highlighted as well. Finding practical and affordable ways to support the use of social media and encourage access to online health information and use of online health services could improve health literacy and self-management of health at the individual level and increase the efficiency in the provision of health services at the institutional level.     

The design and evaluation of a photograph-sharing application for rural and urban Kenyan families

Family members in Kenya rely on technology to connect between rural and urban regions, yet little is known about the specific communication challenges they face and how to overcome them through new communication technology design. To explore this topic, we conducted two studies along with design work. First, we conducted an interview-based study that explores how families in Kenya currently used communication technology and the social and technical challenges that they faced in doing so. Our findings showed that family communication focuses on economic support, well-being, and the everyday coordination of activities, yet infrastructure challenges, reduced access to technology, and social situations created communication challenges. Second, we used these results to inform the design and deployment of a system called TumaPicha that supports the sharing of photographs between families who live in rural and low-income urban areas via intermediaries. The goal of the system was to support communication around economic activities while easing issues around connectivity and technology literacy. Third, TumaPicha was deployed over a period of 5 weeks with families in Kenya whose members inhabited both rural and low-income urban areas. Deployment results reveal that families used photographs to share knowledge related to subsistence awareness, village awareness, and health and well-being awareness. This suggests promise for simple media sharing applications in developing countries like Kenya that rely on a mixture of technology and social processes; however, our study also raises challenging questions around privacy and power consumption with new devices and applications.     

Designing social media for informal learning and knowledge maturing in the digital workplace

This paper presents an original approach to designing social media that support informal learning in the digital workplace. It adapts design‐based research to take into account the embeddedness of interactions within digitally mediated work‐based contexts. The approach is demonstrated through the design, implementation, and evaluation of software tools supporting a particular type of informal learning called knowledge maturing. The paper: introduces and presents the rationale for, and concept of, knowledge maturing; presents a new design methodology for developing social media that support informal learning and knowledge maturing; focuses on one prototype, for ‘people tagging for organisational development’, that was produced by the methodology (and concisely describes two others); presents the formative evaluation of the highlighted prototype; and finally, discusses the implications and insights arising from this work.     

Going back to basics in design science: from the information technology artifact to the information systems artifact

The concept of the ‘information technology (IT) artifact’ plays a central role in the information systems (IS) research community's discourse on design science. We pose the alternative concept of the ‘IS artifact’, unpacking what has been called the IT artifact into a separate ‘information artifact’, ‘technology artifact’ and ‘social artifact’. Technology artifacts (such as hardware and software), information artifacts (such as a message) and social artifacts (such as a charitable act) are different kinds of artifacts that together interact in order to form the IS artifact. We illustrate the knowledge value of the IS artifact concept with material from three cases. The result is to restore the idea that the study of design in IS needs to attend to the design of the entire IS artifact, not just the IT artifact. This result encourages an expansion in the use of design science research methodology to study broader kinds of artifacts.     

Medical diagnosis with the aid of using fuzzy logic and intuitionistic fuzzy logic

The objective of the present study is to develop/establish a web-based medical diagnostic support system (MDSS) by which health care support can be provided for people living in rural areas of a country. In this respect, this research provides a novel approach for medical diagnosis driven by integrating fuzzy and intuitionistic fuzzy (IF) frameworks. Subsequently, based on the proposed approach a web-based MDSS is developed. The proposed MDSS comprises of a knowledge base (KB) and intuitionistic fuzzy inference system (IFIS). Based on the observation that medical data cannot be described with both precision and certainty, a medical KB is constructed in the form of a set of if-then decision rules by employing both fuzzy and IF logics. After constructing the medical KB, a new set of patients is considered for diagnosing the diseases. For each patient, linguistic values of the patients’ symptoms are considered as inputs of the proposed IFIS and modeled by using the generalized triangular membership functions. Subsequently, integrated fuzzy and IF rule-based inference system is used to find a valid conclusion for the new set of patients. In a nutshell, in this paper fuzzy rule-based and IFS based inference systems are combined for better and more realistic representation of uncertainty of the medical diagnosis problem and for more accurate diagnostic result. The method is composed of following four steps: (1) the modeling of antecedent part of the rules, which consist of linguistic assessments of the patients’ symptoms provided by the doctors/medical experts with their corresponding confidence levels, by using generalized fuzzy numbers; (2) the modeling of consequent part, which reveals the degree of association and the degree of non-association of diseases into the patient, by using IFSs; (3) the use of IF aggregation operator in inference process; (4) the application of relative closeness function to find the final crisp output for a given diagnosis. Finally, the applicability of the proposed approach is illustrated with a suitable case study. This article has also justified the proposed approach by using similarity measurement.     

基于Agent的智能决策支持系统开发与应用

针对传统决策支持系统的局限性,该文提出了一个基于Agent的智能决策支持系统开发方案。利用界面Agent、信息Agent、移动Agent、协作Agent来实现系统的智能部件,多Agent通过协作Agent信息路由器进行协作和交互,共同完成决策支持任务。并将该模型应用于草业信息管理决策支持系统中,系统运行结果证明了模型的有效性和科学性。     

An integrated architecture for the provision of health telematic services based on digital library technologies

monolithic information system to effectively serve the needs of an entire healthcare organizational structure. Thus, information and telecommunications systems must primarily provide the infrastructure to support the effective integration of distributed and heterogeneous components, ensuring overall integrity in terms of functional and information interworking. This approach i.e., the integration of heterogeneous autonomous distributed systems, to developing and managing regional healthcare networks ensures the transfer and integration of consistent information between healthcare facilities, without imposing constraints on the operation of individual clinical units. This paper presents the results of an ongoing effort for the design and implementation of an architecture based on digital library technologies, for the provision of user-oriented telematic services in a regional healthcare network. Specifically, it addresses issues related to the provision of user-oriented services, transparent to the needs of different user groups and the requirements of specific tasks, based on: a) meta-information for the creation of an information infrastructure for the regional healthcare network which is, effectively, a multimedia distributed digital library, b) intelligent informationretrieval strategies to selectively retrieve information from multimedia data, c) agent-based technologies for effective service delivery adapted to the current user needs and the task at hand, and d) middleware services that explicitly reveal not only the characteristics of the information sources, but also address the context of specific telematic services, through appropriate mediation mechanisms. Received: 10 April 1997 / Revised: 6 July 1997 / Accepted: 5 August 1997     

浅析数字媒介的视觉信息与设计思维之关系

设计信息必须依赖于某种物质媒介而存在。数字媒介的产生,开创了人类感知和认识世界的新方式,创造出新的社会行为类型,数字媒介与设计思维之间,尤其是与发散思维之间,更具有隐性的密切联系。     

Receiver-oriented design of Bloom filters for data-centric routing

Bloom filter (BF) is a space-efficient data structure that represents a large set of items and supports efficient membership queries. It has been widely proposed to employ Bloom filters in the routing entries so as to facilitate data-centric routing in network applications. The existing designs of Bloom filters, however, cannot effectively support in-network queries. Given a query for a data item at a node in the network, the noise in unrelated routing entries very likely equals to the useful information of the item in the right routing entries. Consequently, the majority of queries are routed towards many wrong nodes besides those destinations, wasting large quantities of network traffic. To address this issue, we classified the existing designs as CUBF (Cumulative Bloom filters) and ABF (Aggregated Bloom filters), and then evaluate their performance in routing queries under the noisy environments. Based on the evaluation results, we propose a receiver-oriented design of Bloom filters to sufficiently restrict the probability of a wrong routing decision. Moreover, we significantly decrease the delay of a routing decision in the case of CUBF by using the bit slice approach, and reduce the transmission size of each BF in the case of ABF by using the compression approach. Both the theoretical analysis and experimental results demonstrate that our receiver-oriented design of Bloom filters apparently outperforms the existing approaches in terms of the success probability of routing and network traffic cost.