Search results
1 – 10 of 91Yishou Wang, Zhibin Han, Tian Gao and Xinlin Qing
The purpose of this study is to develop a cylindrical capacitive sensor that has the advantages of high resolution, small size and designability and can be easily installed on…
Abstract
Purpose
The purpose of this study is to develop a cylindrical capacitive sensor that has the advantages of high resolution, small size and designability and can be easily installed on lubricant pipeline to monitor lubricant oil debris.
Design/methodology/approach
A theoretical model of the cylindrical capacitive sensor is presented to analyze several parameters’ effectiveness on the performance of sensor. Numerical simulations are then conducted to determine the optimal parameters for preliminary experiments. Experiments are finally carried out to demonstrate the detectability of developed capacitive sensors.
Findings
It is clear from experimental results that the developed capacitive sensor can monitor the debris in lubricant oil well, and the capacitance values increase almost linearly when the number and size of debris increase.
Research limitations/implications
There is lot of further work to do to apply the presented method into the application. Especially, it is necessary to consider several factors’ influence on monitoring results. These factors include the flow rate of the lubricant oil, the temperature, the debris distribution and the vibration. Moreover, future work should consider the influence of the oil degradation to the capacitance change and other contaminations (e.g. water and dust).
Practical implications
This work conducts a feasibility study on application of capacitive sensing principle for detecting debris in aero engine lubricant oil.
Originality/value
The novelty of the presented capacitance sensor can be summarized into two aspects. One is that the sensor structure is simple and characterized by two coaxial cylinders as electrodes, while conventional capacitive sensors are composed of two parallel plates as electrodes. The other is that sensing mechanism and physical model of the presented sensor is verified and validated by the simulation and experiment.
Details
Keywords
The future construction site will be pervasive, context aware and embedded with intelligence. The purpose of this paper is to explore and define the concept of the digital skin of…
Abstract
Purpose
The future construction site will be pervasive, context aware and embedded with intelligence. The purpose of this paper is to explore and define the concept of the digital skin of the future smart construction site.
Design/methodology/approach
The paper provides a systematic and hierarchical classification of 114 articles from both industry and academia on the digital skin concept and evaluates them. The hierarchical classification is based on application areas relevant to construction, such as augmented reality, building information model-based visualisation, labour tracking, supply chain tracking, safety management, mobile equipment tracking and schedule and progress monitoring. Evaluations of the research papers were conducted based on three pillars: validation of technological feasibility, onsite application and user acceptance testing.
Findings
Technologies learned about in the literature review enabled the envisaging of the pervasive construction site of the future. The paper presents scenarios for the future context-aware construction site, including the construction worker, construction procurement management and future real-time safety management systems.
Originality/value
Based on the gaps identified by the review in the body of knowledge and on a broader analysis of technology diffusion, the paper highlights the research challenges to be overcome in the advent of digital skin. The paper recommends that researchers follow a coherent process for smart technology design, development and implementation in order to achieve this vision for the construction industry.
Details
Keywords
Vincenzo Varriale, Antonello Cammarano, Francesca Michelino and Mauro Caputo
The purpose of this study is to identify and characterize the role of both original equipment manufacturer (OEM) and module supplier (MS) knowledge in the smartphone industry. In…
Abstract
Purpose
The purpose of this study is to identify and characterize the role of both original equipment manufacturer (OEM) and module supplier (MS) knowledge in the smartphone industry. In particular, this study aims to evaluate which of the two actors possesses the knowledge that has the greatest impact on the market satisfaction.
Design/methodology/approach
This study explores and combines the concepts of modularity and knowledge management by investigating the patent portfolio of 16 leading smartphone OEMs and 144 MSs. The applied methodology is based on the content analysis of patent data to extract information on both OEM’s and MS’s component knowledge.
Findings
The results show that, although its components are purchased from external MSs, the OEM should preserve both a general and specific concentration of component knowledge, as well as on the end product, to achieve a greater market satisfaction. Moreover, a positive direct relationship was found for the MS between the general concentration of component knowledge and the market satisfaction.
Originality/value
The novelty of this study is to segment the knowledge of both the OEM and the MS on multiple levels. To the best of the authors’ knowledge, this is one of the first studies that investigates the end product and component knowledge of both actors by filtering patent data using text-mining techniques. The originality of this work is to intercept the relationship between the different shades of knowledge of each actor and the market satisfaction.
Details
Keywords
Values of parameters such as temperature, humidity, number of plastic products and the location of plastic injection moulds are required to determine the efficiency of plastic…
Abstract
Purpose
Values of parameters such as temperature, humidity, number of plastic products and the location of plastic injection moulds are required to determine the efficiency of plastic injection moulds with a view to improving the quality of the outputs. This article determined the appropriate sensors for the measurement of these essential parameters in the most suitable form of representation of the data to aid a proficient analysis of the data.
Design/methodology/approach
The outputs of these sensors were obtained by connecting the sensors to the general-purpose input/output (GPIO) pins of a Raspberry Pi and writing a Python programme for the connected GPIO pins. The values of the outputs of these sensors were represented in a graphical form. The connection of the Raspberry Pi and the sensors were done with a full-sized breadboard and jumper wires. A computer-aided design (CAD) of the connections was produced using Fritzing software.
Findings
The appropriate sensors determined are MLX90614 infrared thermometer sensor, DHT11 humidity sensor, pixy2 vision sensor and Neo-6m GPS sensor. This study proposed that the sensors analytic system be applied on an industrial plastic injection mould to measure and display the various parameters of the injection moulds for the purpose of understanding and improving the performance of the injection mould
Originality/value
An electronic system that provides the continuous values of essential parameters of a plastic injection mould in operation.
Details
Keywords
Arturas Kaklauskas, Irene Lill, Dilanthi Amaratunga and Ieva Ubarte
This article’s purpose is to develop The Model for Smart, Self-learning and Adaptive Resilience Building (SARB).
Abstract
Purpose
This article’s purpose is to develop The Model for Smart, Self-learning and Adaptive Resilience Building (SARB).
Design/Methodology/Approach
Products and patents of methods and systems analysis was carried out in the fields of BIM application, Smart, Self-learning and Adaptive Resilience Building. Based on other researchers’ findings, The SARB Model was proposed.
Findings
Analysis of the literature showed that traditional decisions on the informational modelling do not satisfy all the needs of smart building technologies owing to their static nature. The SARB Model was developed to take care of its efficiency from the brief stage to the end of its service life.
Research Limitations/Implications
The SARB Model was developed to take care of its efficiency from the brief stage to the end of its service life. The SARB Model does have some limitations: (1) the processes followed require the collection of much unstructured and semi-structured data from many sources, along with their analyses to support stakeholders in decision-making; (2) stakeholders need to be aware of the broader context of decision-making and (3) the proposal is process-oriented, which can be a disadvantage during the model’s implementation.
Practical Implications
Two directions can be identified for the practical implications of the SARB Model. The initial expectation is the widespread installation of SARB Model within real estate and construction organisations. Furthermore, development of the SARB Model will be used to implement the ERASMUS+ project, “Advancing Skill Creation to ENhance Transformation—ASCENT” Project No. 561712-EPP-1-2015-UK-EPPKA2-CBHE-JP.
Originality/Value
The practical implications of this paper are valuable.
Details
Keywords
Kazuyuki Motohashi and Chen Zhu
This study aims to assess the technological capability of Chinese internet platforms (BAT: Baidu, Alibaba, Tencent) compared to US ones (GAFA: Google, Amazon, Facebook, Apple)…
Abstract
Purpose
This study aims to assess the technological capability of Chinese internet platforms (BAT: Baidu, Alibaba, Tencent) compared to US ones (GAFA: Google, Amazon, Facebook, Apple). More specifically, this study explores Baidu’s technological catching-up process with Google by analyzing their patent textual information.
Design/methodology/approach
The authors retrieved 26,383 Google patents and 6,695 Baidu patents from PATSTAT 2019 Spring version. The collected patent documents were vectorized using the Word2Vec model first, and then K-means clustering was applied to visualize the technological space of two firms. Finally, novel indicators were proposed to capture the technological catching-up process between Baidu and Google.
Findings
The results show that Baidu follows a trend of US rather than Chinese technology which suggests Baidu is aggressively seeking to catch up with US players in the process of its technological development. At the same time, the impact index of Baidu patents increases over time, reflecting its upgrading of technological competitiveness.
Originality/value
This study proposed a new method to analyze technology mapping and evolution based on patent text information. As both US and China are crucial players in the internet industry, it is vital for policymakers in third countries to understand the technological capacity and competitiveness of both countries to develop strategic partnerships effectively.
Details
Keywords
Stress at workplace is quite common in all sorts of environment. It can be occurring when the demand in the job does not match with the requirements; thereby, it affects their…
Abstract
Purpose
Stress at workplace is quite common in all sorts of environment. It can be occurring when the demand in the job does not match with the requirements; thereby, it affects their performance. The study was conducted with the aim to identify the major factors that induce stress for teaching professionals in private engineering colleges and its impact towards job performance. From the observation and discussion, it was found that Workload, Working Hour, Salary, Role Ambiguity and Lack of Social Support are the major factors for stress.
Design/methodology/approach
A structured questionnaire was framed with the help of stress-causing factors and their effect on job performance. In addition to this, a few questions were asked related to stress management intervention program. The survey was conducted with 370 respondents, while further analysis was carried out with the filled 260 respondent’s data using descriptive statistics, correlation, regression, ANOVA and SEM.
Findings
The study reveals that workload plays a significant role in stress whereas other factors are consequently lower than that. Also, the primary-level intervention programs are more effective than secondary-level intervention programs to reduce the stress level of stressors.
Originality/value
The paper was originally done by collecting data from the staff.
Details
Keywords
Renato Ribeiro Nogueira Ferraz, Marcus Vinícius Cesso da Silva, Renan Antônio da Silva and Luc Quoniam
The purpose of this paper is to present the use of a free code computational tool, Patent2net, in the search of patents for the implementation of distance learning aimed at…
Abstract
Purpose
The purpose of this paper is to present the use of a free code computational tool, Patent2net, in the search of patents for the implementation of distance learning aimed at Continuing Medical Education.
Design/methodology/approach
This technical report is based on the extraction, organization and availability, in the format of graphs and dynamic tables, and also based on information in other patents on the subject, made available in the Espacenet database.
Findings
As a result, it was possible to identify a Chinese patent, free for reproduction in Brazil, which describes an e-learning system that simulates 3D scenarios for training nursing teams.
Research limitations/implications
The paper has used one unique patent database, but containing more than 100m documents.
Practical implications
The selected patent can contribute to the improvement of care and behavioral techniques of the health professionals.
Social implications
The training of health professionals can improve the public and supplementary health systems.
Originality/value
This is the first paper in that de technometric analisys of patents was used to solve a problem regarding the training of health professionals.
Details
Keywords
This study aims to suggest directions for innovation-driving paths for sustainable growth through an in-depth case analysis of a successful Internet of Things (IoT) in small- and…
Abstract
Purpose
This study aims to suggest directions for innovation-driving paths for sustainable growth through an in-depth case analysis of a successful Internet of Things (IoT) in small- and medium-sized enterprise (SME) in South Korea. IoT is expected to play a significant role in the future industry 4.0 platform. Yet, little is known about how SMEs in the IoT industry (IoT-SMEs hereafter) pursue innovation in alignment with attributes inherent in the IoT.
Design/methodology/approach
This study addresses relatively unexplored key research questions on innovation strategies of IoT-SMEs. To do so, we employ an exploratory research methodology, along with an extensive review of the literature in the areas of the IoT, SMEs innovation and sustainable growth strategy. Specifically, we conduct intensive individual interviews to find IoT inherent innovation attributes and a case study to explore the process of linking these attributes to innovation-driving paths.
Findings
The analysis results reveal that there exist disruptive and open innovation attributes in the IoT industry that enable IoT-SMEs to enhance their structure and process related capabilities, to create business models for products and services and to collaborate with external parties in marketing to enter the market. We excavate practical insights into driving innovation based on IoT attributes and suggest enabling paths for pursuing innovation and entering overseas markets for IoT-SMEs.
Originality/value
This study investigates an underexplored significant area of research on the relationship between IoT attributes and innovation paths. The findings provide profound theoretical and practical implications. To the best of the author’s knowledge, it is the first attempt to link disruptive and open IoT attributes to innovation paths of IoT-SMEs. The results provide directions for pursuing effective innovation in responding to the IoT market for sustainable growth.
Details
Keywords
Jeovan de Carvalho Figueiredo, Luiz Carlos Di Serio, Jislaine de Fátima Guilhermino, Wladimir Augusto César de Morais and Vera Lucia Neto
Most research and development (R&D) activities in Brazil are performed by science and technology institutions (STIs). The purpose of this research was to determine whether…
Abstract
Purpose
Most research and development (R&D) activities in Brazil are performed by science and technology institutions (STIs). The purpose of this research was to determine whether environmentally sound technologies (ESTs) developed by these organizations were transferred to companies, either through cooperation during research or through mechanisms such as licensing agreements or spin-offs.
Design/methodology/approach
In total, 1,939 research groups and 702 patent registers, identified from the same set of words related to ESTs, using semantic search in open-access databases, covering a period from 2005 to 2014, were examined. The two data sets (patents and research groups) were overlaid, and it was possible to associate inventors’ names with researchers’ names.
Findings
The results showed that only six patents could be related to the 1,939 identified research groups. Of the six patents, only one was the object of a licensing agreement, and no spin-off was identified.
Practical implications
This study evidenced that it is necessary to expand the mechanisms of knowledge transfer, directed not only from STIs to companies but also in the opposite direction, given that companies recognize potential market opportunities.
Originality/value
This study shows that improvements in the Brazilian National Innovation System are necessary, as ESTs research groups demonstrated a weak association with technologies transferred to companies, with only one case of technology transfer in the form of a licensing agreement.
Details