Information Analysis Service Research Articles

Retracted] Optimization Strategy of IoT Sensor Configuration Based on Genetic Algorithm‐Neural Network

This article carries out the overall design framework of the IoT sensor data processing platform and analyzes the advantages of using the integrated construction platform. The platform is divided into two parts, a web management platform and a data communication system, and interacts with the database by integrating the business layers of the two into one. The web management platform provides configurable communication protocol customization services, equipment information, personal information, announcement information management services, and data collection information monitoring and analysis services. The collected data is analyzed by the sensor data communication service system and then provided to the web management platform for query and call. This paper discusses the theoretical basis of the combination of genetic algorithm and neural network and proposes the necessity of improving genetic algorithm. The improved level involves chromosome coding methods, fitness function selection, and genetic manipulation. We propose an improved genetic algorithm and use an improved genetic algorithm (IGA) to optimize the neural network structure. The finite element method is adopted, the finite element model is established, and the shock piezoelectric response is numerically simulated. The genetic neural network method is used to simulate the collision damage location detection problem. The piezoelectric sensor is optimized, and the optimal sensor configuration corresponding to its initial layout is obtained, which provides guidance for the optimal configuration of the actual piezoelectric sensor.

The Evolution and Approaches of Information Analysis Service of University Libraries in China

ABSTRACT The role of reference and information service has been redefined in some Chinese university libraries. In these libraries the focus of reference and information service has transformed into information analysis. University libraries have been a participant in the management and evaluation in scientific research, technological innovation, and discipline construction. The information analysis service of Zhejiang University Library is a typical case. Zhejiang University library established an information analysis group in 2009 in reference and information service division. To further guarantee the professionalism of service, the information analysis service center was set up in 2018 as a separate division. Over the past decade, information analysis service has played the potential of library in supporting decision-making, scientific research and innovation, discipline construction, research performance evaluation, etc. Information analysis service makes the popularity and status of the university library improve continuously. The evolution of information analysis service of Zhejiang University Library is reviewed in this paper, from the initial stage to the expansion stage, and then to the establishment of professional division. Approaches to promote the progress of information analysis service are summarized. The future goals are also discussed from the perspectives of strengthening the innovation mind-set, librarian development, and information analysis literacy.

A big data placement method using NSGA-III in meteorological cloud platform

Meteorological cloud platforms (MCP) are gradually replacing the traditional meteorological information systems to provide information analysis services such as weather forecasting, disaster warning, and scientific research. However, the explosive growth of meteorological data resources has brought new challenges to the placement and management of big data in MCP. On the one hand, managers of MCP need to save energy to achieve cost savings. On the other hand, users need shorter data access time to improve user’s experience. Hence, a big data placement method in MCP is proposed in this paper to deal with challenges above. First, the resource utilization, the data access time, and the energy consumption in MCP with the fat-tree topology are analyzed. Then, a corresponding data placement method, using the improved non-dominated sorting genetic algorithm III (NSGA-III), is designed to optimize the resource usage, energy saving, and efficient data access. Finally, extensive experimental evaluations validate the efficiency and effectiveness of our proposed method.

Research on some key technologies of Hadoop’s cloud GIS

Cloud computing is the product of the development of Internet computing to a certain stage, is the latest result of the evolution of parallel computing, grid computing and other new computing methods. The infinite expansion of cloud computing storage technology can meet the rapid growth of spatial data storage space requirements, powerful computing capabilities for spatial information retrieval, processing, analysis and other high-speed services to ensure. Aiming at the problems of massive data storage, processing, analysis and continuous service faced by GIS, this paper constructs the application of Hadoop-based GIS, and studies some key technologies.

Exploration of hospital information service oriented to disciplinary development

Tongji hospital provides disciplinary development oriented information services, including disciplinary information resources construction, lectures on medical information literacy, discipline information push service and information analysis service. The corresponding interaction and supervision mechanism has been established to ensure service quality. Such services constitute vital information support for first-class disciplines development by such means as information resources availability, talents training, discipline development and scientific decision-making. It also provides a service platform for improvement of hospital discipline reputation satisfactorily. Key words: Disciplines development; Information services; Hospitals; Library

Semantically linking events for massive scientific literature research

PurposeThis paper aims to semantically linking scientific research events implied by scientific and technical literature to support information analysis and information service applications. Literature research is an important method to acquire scientific and technical information which is important for research, development and innovation of science and technology. It is difficult but urgently required to acquire accurate, timely, rapid, short and comprehensive information from the large-scale and fast-growing literature, especially in the big data era. Existing literature-based information retrieval systems focus on basic data organization, and they are far from meeting the needs of information analytics. It becomes urgent to organize and analyze scientific research events related to scientific and technical literature for forecasting development trend of science and technology.Design/methodology/approachScientific literature such as a paper or a patent is represented as a scientific research event, which contains elements including when, where, who, what, how and why. Metadata of literature is used to formulate scientific research events that are implied in introduction and related work sections of literature. Named entities and research objects such as methods, materials and algorithms can be extracted from texts of literature by using text analysis. The authors semantically link scientific research events, entities and objects, and then, they construct the event space for supporting scientific and technical information analysis.FindingsThis paper represents scientific literature as events, which are coarse-grained units comparing with entities and relations in current information organizations. Events and semantic relations among them together formulate a semantic link network, which could support event-centric information browsing, search and recommendation.Research limitations/implicationsThe proposed model is a theoretical model, and it needs to verify the efficiency in further experimental application research. The evaluation and applications of semantic link network of scientific research events are further research issues.Originality/valueThis paper regards scientific literature as scientific research events and proposes an approach to semantically link events into a network with multiple-typed entities and relations. According to the needs of scientific and technical information analysis, scientific research events are organized into event cubes which are distributed in a three-dimensioned space for easy-to-understand and information visualization.

Geohashed Spatial Index Method for a Location-Aware WBAN Data Monitoring System Based on NoSQL

The exceptional development of electronic device technology, the miniaturization of mobile devices, and the development of telecommunication technology has made it possible to monitor human biometric data anywhere and anytime by using different types of wearable or embedded sensors. In daily life, mobile devices can collect wireless body area network (WBAN) data, and the co-collected location data is also important for disease analysis. In order to efficiently analyze WBAN data, including location information and support medical analysis services, we propose a geohash-based spatial index method for a location-aware WBAN data monitoring system on the NoSQL database system, which uses an R-tree-based global tree to organize the real-time location data of a patient and a B-tree-based local tree to manage historical data. This type of spatial index method is a support cloud-based location-aware WBAN data monitoring system. In order to evaluate the proposed method, we built a system that can support a JavaScript Object Notation (JSON) and Binary JSON (BSON) document data on mobile gateway devices. The proposed spatial index method can efficiently process location-based queries for medical signal monitoring. In order to evaluate our index method, we simulated a small system on MongoDB with our proposed index method, which is a document-based NoSQL database system, and evaluated its performance.

Open Data and Official Language Regimes

The open data movement is gathering steam globally, and it has the potential to transform relationships between citizens, the private sector and government. To date, little or no attention has been given to the particular challenge of realizing the benefits of open data within an officially bi- or multi-lingual jurisdiction. Using the efforts and obligations of the Canadian federal government as a case study, the authors identify the challenges posed by developing and implementing an open data agenda within an officially bilingual state. Key concerns include (1) whether governments may use open data to outsource some information analysis and information services to an unregulated private sector through open data initiatives, thus directly or indirectly avoiding obligations to provide information analysis and information tools in official languages; and (2) whether the rush by governments to support the innovation agenda of open data may leave minority language communities both under-served and under-included in the development and use of open data.

Open Data and Official Language Regimes: An Examination of the Canadian Experience

The open data moving is gathering steam globally, and it has the potential to transform relationships between citizens, the private sector and government. To date, little or no attention has been given to the particular challenge of realizing the benefits of open data within in an officially bi- or multi-lingual jurisdiction. Using the efforts and obligations of the Canadian federal government as a case study, the authors identify the challenges posed by developing and implementing an open data agenda within an officially bilingual state. Key concerns include (1) whether governments may use open data to outsource some information analysis and information services to an unregulated private sector through open data initiatives, thus directly or indirectly avoiding obligations to provide information analysis and information tools in official languages; and (2) whether the rush by governments to support the innovation agenda of open data may leave minority language communities both underserved and under-included in the development and use of open data.

Design of Greenhouse Control Engine of Optimal to Minimize the Energy Costs

In this paper, I have revised and supplement the Greenhouse Control System (GCS) proposed by existing. In addition, we studied the detailed design of the Greenhouse Control Engine (GCE) which is one of the engine that make up the GCS. GCE was designed to place the purpose of minimizing the cost consumed by the control device in the operation for the optimal control of the crop growth environment. The GCE consist of Data Aggregator (DA) to collect information of the greenhouse, Greenhouse Information Storage (GIS) stores the collected information, and Greenhouse Control Agent (GCA) is based on analysis of stored data and considering energy-efficient select the appropriate control devices. Also, this engine provides the greenhouse environment information collection and analysis service and the control device select service. And tested the designed GCE through the test bed.

Web-service-based Monitoring and Analysis of Global Agricultural Drought

It is of great importance and an urgent demand to enable operational and near real-time monitoring and analysis of global agricultural drought at desirable spatial and temporal resolutions. Traditional approaches and existing systems are not able to meet the demand because of big-data and geoprocessing-modeling challenges. The latest advances in Web service, geospatial interoperability and cyberinfrastructure technologies and the availability of near real-time global remote sensing data have shown potential to address the challenges and meet the demand. This paper presents a Web service approach to building the Global Agricultural Drought Monitoring and Forecasting System ( GADMFS), an open, interoperable, and on-demand geospatial Web service system, for meeting the demand. The big-data and geoprocessingmodeling issues in providing complete agricultural drought information are resolved in GADMFS through improved data-, service- and system-level interoperability and servability. GADMFS is able to overcome major limitations of current drought information systems in the world and better support decision making with improved global agricultural drought data and information dissemination and analysis services.

Construction of Total Information Portal Service for Korea Urban Regeneration

In this study, the total information portal service for urban regeneration was constructed to supply comprehensive information for Korean urban regeneration. The portal service is largely divided into an information analysis service for urban regeneration and an information disclosure service. For total information portal service, the information analysis service constructed a system for making district level decline diagnosis and city and county level potential analysis. Moreover, it can construct and control analyzed information specified at the district level. The information disclosure service consists of functions capable of recycling information, interworking the analysis service and facilitating expert participation. It also supplies data of total information DB in reprocessable format. For revitalization of communities, the information analysis service is constructed to lead experts on urban regeneration to share their opinions.

Overview of Informetrics Research Activities in KISTI Knowledge Information Center

KISTI is a government-funded research institute designed to maximize the eff iciency of science and technology R&D and support high-tech R&D for researchers. KISTI has laid the foundation for sophisticated R&D by collecting science and technology information from countries around the world and providing the information to companies and research institutions. Also, KISTI has supplied customized information analysis service to enable researchers and small & medium sized companies to make a right decision on time and has contributed to maximizing research eff iciency through building the world-class super computing and research network. KISTI is helping researchers to generate excellent results through higher value-added information, advancement of research and the commercialization of science and is playing a key role in making Korea enter the line of developed nations by actively responding to the global science and technology paradigm, rapidly being converged and sophisticate. Now, KISTI has 3 research centers such as Knowledge Information Center, Information Analysis Center and Supercomputing Center.

An examination of Canadian information professionals’ involvement in the provision of business information synthesis and analysis services

The present study investigated the processes information professionals, working in a business environment, follow to meet business clients’ information needs and particularly their involvement in information synthesis and analysis practices. A combination of qualitative and quantitative data was collected via a survey of 98 information professionals across North America and follow-up interviews with eight Canadian information professionals. It was found that there is an increasing need for value-added services, which incorporate synthesis and analysis but the level of information professionals’ involvement differs depending on a range of factors such as clients’ needs and attitudes, information professionals’ knowledge of the subject area and their length of time working in a particular organization. Information synthesis and analysis in a business context is mostly a collaborative process and principles of analysis are required throughout the entire cycle of information seeking. For the effective transition of information professionals to information synthesists and analysts more effective support may be required to develop a set of essential skills and knowledge.

Special Issue on “Engineering Informatics”

Special Issue on “Engineering Informatics”

정보분석 보고서의 이용자 만족도 및 경제적 가치평가 측정에 관한 연구

This study is to provide the customer`s satisfaction and the economic evaluation model for the KISTI S&T Informaion Analysis Report with the results of the survey. Recently the important issue for the informaion analysis service is make policies that reflect the proper demand and satisfaction of customers. In this paper, we explain how the evaluate of information analysis service in the customer`s satisfaction and the economic valuation model can be estimated using survey. In such a setting, the customer`s satisfaction and the economic evaluation model are important methods for the reflection of monitored information in national scientific and technological policies.

A Combined Industry and Academia Residency Program

The Drug Information Analysis Service of the Department of Clinical Pharmacy at the University of California School of Pharmacy and the Medical Information Department of Genentech, Inc. developed a combined drug information residency. The Drug Information Analysis Service is an academic drug information service that educates and trains pharmacy students and residents and supports a medical center campus. The Medical Information Department of Genentech is a rapidly expanding department that supports health care professionals and consumers using Genentech products. The second year of the combined residency has been completed and three residents have graduated. While the environments and daily operations are different for each site, the goals and objectives of the combined residency program are the same. The relationship established between the two organizations has proven beneficial in numerous direct and indirect ways.

Drug Information in Industry Versus Academia: A Pharmacy Resident’s Perspective of a Sample Case

The pharmaceutical industry and academia both offer career paths for pharmacists specializing in drug information. Each setting presents its own distinct opportunities and challenges. A recent shortage of a thrombolytic agent serves as a sample case because of its impact on the Drug Information Analysis Service at the University of California, San Francisco, and the Medical Information Department at Genentech, Inc. The practice differences between these two settings are highlighted as they relate to the shortage, and the effects on each institution are described. The relationship between the work generated by the shortage and its utility as a teaching case during a drug information residency is explored.

Drug Information Analysis Service; Octreotide Use in AIDS

Drug Information Analysis Service; <i>Octreotide Use in AIDS</i>

Drug Information Analysis Service

THE DIAS ROUNDS is a discussion of requests for information received by various drug information centers and is edited by the Drug Information Analysis Service at the University of California, San Francisco. This issue features three requests: Continuous Verapamil Infusion, Neuromuscular Blocking Agents in Burn Patients, and Pediatric Bowel Evacuation with a Polyethylene Glycol and Iso-osmolar Electrolyte Solution.