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Article
Publication date: 18 November 2013

Li Si, Xiaozhe Zhuang, Wenming Xing and Weining Guo

This article aims to summarize the employers' requirements of scientific data specialists and the status quo of LIS education organizations' training system for scientific…

1543

Abstract

Purpose

This article aims to summarize the employers' requirements of scientific data specialists and the status quo of LIS education organizations' training system for scientific data specialists. It also focuses on the matching analysis between the course content and the responsibilities as well as requirements of scientific data specialists. Moreover, in order to provide some indications for LIS education of scientific data specialists in China, it presents the training objectives and modes.

Design/methodology/approach

Some job portals for librarians and the comprehensive job portals are investigated as information sources and the keywords such as “scientific data management”, “data service”, “data curation”, “e-Science”, “e-Research”, “data specialist” are selected to retrieval library-released job advertisements for scientific data specialists to understand the library's requirements towards scientific data specialists' core capabilities. Meanwhile the course catalogues of all iSchools' web sites are searched directly in order to find if scientific data courses are provided.

Findings

Libraries value teamwork ability, communication ability, interpersonal ability and a good use of data curation tools as the core competences for scientific data specialists. Candidates who possess a second advanced degree, who understand libraries, who hold demonstrated knowledge of metadata standards, and who emphasize details, under the same condition, are more likely to be considered first. Libraries do not have a unified title for scientific data specialists yet. The current curriculums of iSchools mainly cover research method, data science, data management and data service, data statistic and analysis, data warehouse, information studies and technologies, and so on.

Originality/value

This unique study explores some required qualifications of science data specialist surveyed by job openings, including the core skills, position requirements, responsibilities of the job, and some qualifications. It also investigates the related curriculum setting of iSchool universities through course descriptions. This study is very useful for curriculum development in Chinese LIS education of scientific data specialists including required core courses and selected electives, and to promote the practice of data service in Chinese academic libraries.

Details

Library Hi Tech, vol. 31 no. 4
Type: Research Article
ISSN: 0737-8831

Keywords

Article
Publication date: 6 February 2017

Nai-ming Xie, Song-Ming Yin and Chuan-Zhen Hu

The purpose of this paper is to study a new approach by combining a multilayer perceptron neural network (MLPNN) algorithm with a GM(1, N) model in order to estimate the…

Abstract

Purpose

The purpose of this paper is to study a new approach by combining a multilayer perceptron neural network (MLPNN) algorithm with a GM(1, N) model in order to estimate the development cost of a new type of aircraft.

Design/methodology/approach

First, data about developing costs and their influencing factors were collected for several types of Boeing and Airbus aircraft. Second, a GM(1, N) model was constructed to simulate development costs for a civil aircraft. Then, an MLPNN algorithm was added to optimize and revise the simulative and forecasting values. Finally, a combined approach, using both a GM(1, N) model and an MLPNN algorithm was adopted to forecast development costs for new civil aircraft.

Findings

The results show that the proposed approach could do the work of cost estimation for new types of aircraft. Rather than using a single model, the combined approach could improve simulative and forecasting accuracy.

Practical implications

Scientific cost estimation could improve management efficiency and promote the success of a new type of civil aircraft development. Considering that China’s civil aircraft research and development is at its very beginning stages, only very limited data could be collected. The development costs for civil aircraft are affected by a series of factors. The approach outlined by this paper could be applied to development cost estimations in China’s civil aircraft industry.

Originality/value

The paper has succeeded by constructing a cost estimation index system and proposing a novel combined cost estimation approach comprised of a GM(1, N) model and an MLPNN. It has undoubtedly contributed to improving the accuracy of cost estimations.

Details

Grey Systems: Theory and Application, vol. 7 no. 1
Type: Research Article
ISSN: 2043-9377

Keywords

Article
Publication date: 23 May 2018

Wei Zhang, Xianghong Hua, Kegen Yu, Weining Qiu, Shoujian Zhang and Xiaoxing He

This paper aims to introduce the weighted squared Euclidean distance between points in signal space, to improve the performance of the Wi-Fi indoor positioning. Nowadays…

Abstract

Purpose

This paper aims to introduce the weighted squared Euclidean distance between points in signal space, to improve the performance of the Wi-Fi indoor positioning. Nowadays, the received signal strength-based Wi-Fi indoor positioning, a low-cost indoor positioning approach, has attracted a significant attention from both academia and industry.

Design/methodology/approach

The local principal gradient direction is introduced and used to define the weighting function and an average algorithm based on k-means algorithm is used to estimate the local principal gradient direction of each access point. Then, correlation distance is used in the new method to find the k nearest calibration points. The weighted squared Euclidean distance between the nearest calibration point and target point is calculated and used to estimate the position of target point.

Findings

Experiments are conducted and the results indicate that the proposed Wi-Fi indoor positioning approach considerably outperforms the weighted k nearest neighbor method. The new method also outperforms support vector regression and extreme learning machine algorithms in the absence of sufficient fingerprints.

Research limitations/implications

Weighted k nearest neighbor approach, support vector regression algorithm and extreme learning machine algorithm are the three classic strategies for location determination using Wi-Fi fingerprinting. However, weighted k nearest neighbor suffers from dramatic performance degradation in the presence of multipath signal attenuation and environmental changes. More fingerprints are required for support vector regression algorithm to ensure the desirable performance; and labeling Wi-Fi fingerprints is labor-intensive. The performance of extreme learning machine algorithm may not be stable.

Practical implications

The new weighted squared Euclidean distance-based Wi-Fi indoor positioning strategy can improve the performance of Wi-Fi indoor positioning system.

Social implications

The received signal strength-based effective Wi-Fi indoor positioning system can substitute for global positioning system that does not work indoors. This effective and low-cost positioning approach would be promising for many indoor-based location services.

Originality/value

A novel Wi-Fi indoor positioning strategy based on the weighted squared Euclidean distance is proposed in this paper to improve the performance of the Wi-Fi indoor positioning, and the local principal gradient direction is introduced and used to define the weighting function.

Article
Publication date: 17 April 2020

Zhen Liu, Yingzhao Xiao, Shiyao Jiang and Shuang Hu

This study proposes personal network of social entrepreneurs as a key antecedent factor of their resource bricolage to understand the mechanisms underlying social…

Abstract

Purpose

This study proposes personal network of social entrepreneurs as a key antecedent factor of their resource bricolage to understand the mechanisms underlying social entrepreneurial practices before the founding of social enterprises.

Design/methodology/approach

An empirical study is used to collect and analyze data. The questionnaire data are drawn from in-depth semistructured interviews with Chinese social entrepreneurs. This study develops a theoretical framework that draws upon two dimensions of social capital, namely, “ownership” and “use,” to explore relationships among personal network, resource bricolage and relation strength.

Findings

With data from 227 social enterprises in China, empirical results suggest that personal network of social entrepreneurs, that is, the “owned” social capital, shall be transformed by the intermediate role of resource bricolage into relation strength, that is, the “used” social capital. The relationship between resource bricolage and relation strength is positively moderated by the marketization degree and social class of social entrepreneurs.

Research limitations/implications

This study introduces resource bricolage into the front-end course of social entrepreneurship. The results show that similar personal network can lead to different behavioral outcomes in the context of social entrepreneurship. Then the integration of resources and opportunities at the beginning of the social entrepreneurial process opens new avenues for future research. However, this study only investigates the transformation from network to resources implemented by social entrepreneurs before organization establishment. It does not explore potential outcomes of such a transformation for the development of social enterprises.

Practical implications

Social entrepreneurs at the prefounding stage shall make use of the values of available resources, fully use potential interpersonal relations in the personal network, and transform these relations into a close, steady relationship to realize potential values of available resources. Social entrepreneurs can start from excavation and foundation laying of strong relation networks, to avoid problems in legality, social awareness and failure risks generated from blind integration of external resources.

Originality/value

This study finds that social entrepreneurship exists between the motivation of the social entrepreneur and the establishment of the organization after the development over time. Creating first a phased result through the resource bricolage is necessary. This result establishes a complete process chain of social entrepreneurship from motivation to behavior, next to organization establishment and subsequent development. This study is an empirical test based on the theoretical interpretation to make a positive effect on the social entrepreneurship research in the theoretical construction and testing of the deficiencies.

Details

Management Decision, vol. 59 no. 11
Type: Research Article
ISSN: 0025-1747

Keywords

Article
Publication date: 2 July 2018

Jinghan Du, Haiyan Chen and Weining Zhang

In large-scale monitoring systems, sensors in different locations are deployed to collect massive useful time-series data, which can help in real-time data analytics and…

Abstract

Purpose

In large-scale monitoring systems, sensors in different locations are deployed to collect massive useful time-series data, which can help in real-time data analytics and its related applications. However, affected by hardware device itself, sensor nodes often fail to work, resulting in a common phenomenon that the collected data are incomplete. The purpose of this study is to predict and recover the missing data in sensor networks.

Design/methodology/approach

Considering the spatio-temporal correlation of large-scale sensor data, this paper proposes a data recover model in sensor networks based on a deep learning method, i.e. deep belief network (DBN). Specifically, when one sensor fails, the historical time-series data of its own and the real-time data from surrounding sensor nodes, which have high similarity with a failure observed using the proposed similarity filter, are collected first. Then, the high-level feature representation of these spatio-temporal correlation data is extracted by DBN. Moreover, to determine the structure of a DBN model, a reconstruction error-based algorithm is proposed. Finally, the missing data are predicted based on these features by a single-layer neural network.

Findings

This paper collects a noise data set from an airport monitoring system for experiments. Various comparative experiments show that the proposed algorithms are effective. The proposed data recovery model is compared with several other classical models, and the experimental results prove that the deep learning-based model can not only get a better prediction accuracy but also get a better performance in training time and model robustness.

Originality/value

A deep learning method is investigated in data recovery task, and it proved to be effective compared with other previous methods. This might provide a practical experience in the application of a deep learning method.

Details

Sensor Review, vol. 39 no. 2
Type: Research Article
ISSN: 0260-2288

Keywords

Article
Publication date: 16 January 2017

Wei Zhang, Xianghong Hua, Kegen Yu, Weining Qiu, Xin Chang, Bang Wu and Xijiang Chen

Nowadays, WiFi indoor positioning based on received signal strength (RSS) becomes a research hotspot due to its low cost and ease of deployment characteristics. To further…

Abstract

Purpose

Nowadays, WiFi indoor positioning based on received signal strength (RSS) becomes a research hotspot due to its low cost and ease of deployment characteristics. To further improve the performance of WiFi indoor positioning based on RSS, this paper aims to propose a novel position estimation strategy which is called radius-based domain clustering (RDC). This domain clustering technology aims to avoid the issue of access point (AP) selection.

Design/methodology/approach

The proposed positioning approach uses each individual AP of all available APs to estimate the position of target point. Then, according to circular error probable, the authors search the decision domain which has the 50 per cent of the intermediate position estimates and minimize the radius of a circle via a RDC algorithm. The final estimate of the position of target point is obtained by averaging intermediate position estimates in the decision domain.

Findings

Experiments are conducted, and comparison between the different position estimation strategies demonstrates that the new method has a better location estimation accuracy and reliability.

Research limitations/implications

Weighted k nearest neighbor approach and Naive Bayes Classifier method are two classic position estimation strategies for location determination using WiFi fingerprinting. Both of the two strategies are affected by AP selection strategies and inappropriate selection of APs may degrade positioning performance considerably.

Practical implications

The RDC positioning approach can improve the performance of WiFi indoor positioning, and the issue of AP selection and related drawbacks is avoided.

Social implications

The RSS-based effective WiFi indoor positioning system can makes up for the indoor positioning weaknesses of global navigation satellite system. Many indoor location-based services can be encouraged with the effective and low-cost positioning technology.

Originality/value

A novel position estimation strategy is introduced to avoid the AP selection problem in RSS-based WiFi indoor positioning technology, and the domain clustering technology is proposed to obtain a better accuracy and reliability.

Article
Publication date: 28 September 2020

Ramji Nagariya, Divesh Kumar and Ishwar Kumar

The purpose of this study is to carry out the systematic literature review, bibliometric analysis and content analysis of extant literature of service supply chain (SSC).

Abstract

Purpose

The purpose of this study is to carry out the systematic literature review, bibliometric analysis and content analysis of extant literature of service supply chain (SSC).

Design/methodology/approach

Systematic literature review (SLR) technique was used for identifying the research papers. In the first step after reading titles, abstracts and keywords and, full-length articles wherever required, papers not related to SSC were removed. In second steps papers were read more critically and papers not related to SSC were removed. Finally on 502 papers bibliometric and content analysis was further carried out. Content analysis was based on the clusters formed by bibliographic coupling. Further, content analysis of the recent articles revealed the current research trends and research gaps.

Findings

This paper identified the six existing research diversifications in SSC as (1) logistics SSC, (2) model, framework and conceptual papers, (3) third-party logistics service providers, (4) articles from various perspective, (5) measurement of quality and performance on services and (6) impact of adoption of technology, cooperation and branding on logistics service providers. Further, six future research directions are also provided.

Practical implications

This research provides a clear view of the progression of publication, research diversification, research themes of six identified clusters, sub-themes of clusters and content analysis of each cluster. Content analysis of recent articles reveals the current research trend and future research directions.

Originality/value

This is a first of its kind of study which presents the diversification of research areas within SSC, bibliometric analysis, content analysis and provides actionable future research direction.

Details

Benchmarking: An International Journal, vol. 28 no. 1
Type: Research Article
ISSN: 1463-5771

Keywords

Article
Publication date: 9 April 2018

Harpreet Kaur and Surya Prakash Singh

Procurement planning has always been a huge and challenging activity for business firms, especially in manufacturing. With government legislations about global concern…

Abstract

Purpose

Procurement planning has always been a huge and challenging activity for business firms, especially in manufacturing. With government legislations about global concern over carbon emissions, the manufacturing firms are enforced to regulate and reduce the emissions caused throughout the supply chain. It is observed that procurement and logistics activities in manufacturing firms contribute heavily toward carbon emissions. Moreover, highly dynamic and uncertain business environment with uncertainty in parameters such as demand, supplier and carrier capacity adds to the complexity in procurement planning. The paper aims to discuss these issues.

Design/methodology/approach

This paper is a novel attempt to model environmentally sustainable stochastic procurement (ESSP) problem as a mixed-integer non-linear program. The ESSP optimizes the procurement plan of the firm including lot-sizing, supplier and carrier selection by addressing uncertainty and environmental sustainability. The model applies chance-constrained-based approach to address the uncertain parameters.

Findings

The proposed ESSP model is solved optimally for 30 data sets to validate the proposed ESSP and is further demonstrated using three illustrations solved optimally in LINGO 10.

Originality/value

The ESSP model simultaneously minimizes total procurement cost and carbon emissions over the entire planning horizon considering uncertain demand, supplier and carrier capacity.

Details

Management of Environmental Quality: An International Journal, vol. 29 no. 3
Type: Research Article
ISSN: 1477-7835

Keywords

Article
Publication date: 23 October 2009

S.Y. Hsu, D.Y. Sha and Y.H. Chang

In wafer fabrication, the material cost of wafer is expensive. It is imperative to repair the defective wafers produced during the manufacturing process for reducing the…

Abstract

Purpose

In wafer fabrication, the material cost of wafer is expensive. It is imperative to repair the defective wafers produced during the manufacturing process for reducing the cost and increasing the yield of wafer fabrication. However, repairing defective wafer will not only increase the work‐in‐process (WIP) level but the flow time of rework lots as well. In wafer fabrication, rework of wafer is only allowed in the photolithography area, where is the bottleneck of the entire wafer fab. The purpose of this paper is to develop a dispatching rule concerned with rework for photolithography area.

Design/methodology/approach

The research developed a load‐oriented integrated rule, Re‐Disp, to consider the lots' sequencing decision and rework consideration at the photolithography area, in wafer fabrication. Simulation test and statistical analysis have been done on a virtual wafer fabrication plant. In the simulation model, some combinations of dispatching and rework rules, which are popular in practice, have been modeled for benchmarking.

Findings

Integrated rules, Re‐Disp, is better than those combinations of dispatching rules and rework rules under statistical analysis. System will be more stable when the integrated dispatching rule is used for control of the wafer schedule.

Originality/value

The paper developed a new dispatching rule for wafer fabrication concerned with rework for photolithography.

Details

Journal of Manufacturing Technology Management, vol. 20 no. 8
Type: Research Article
ISSN: 1741-038X

Keywords

Article
Publication date: 1 December 2004

Low Sui Pheng

China is among one of the oldest civilizations in the world. The massive land mass of China also means that the Chinese people are subject to weather extremes as well as…

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Abstract

China is among one of the oldest civilizations in the world. The massive land mass of China also means that the Chinese people are subject to weather extremes as well as topographical variety in a country which cuts across alpine heights, treacherous deserts, lush valleys, dusty plains and lengthy rivers. With these weather extremes as the backdrop, it is crucial for the Chinese people to develop appropriate environmental control techniques for their dwellings as well as to ensure the structural integrity of their buildings. This paper discusses the protection, heating, anti‐seismic and dampness techniques developed and implemented in ancient China. It also documents the measures taken by the ancient Chinese to ensure the structural integrity of their buildings. The examples highlighted in this paper suggest that the building science principles adopted in ancient China remain relevant in the construction industry today.

Details

Structural Survey, vol. 22 no. 5
Type: Research Article
ISSN: 0263-080X

Keywords

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