Minglu Chi, Shuaibing Chang, Zuhua Guo, Qiang Zhao, Guomiao Zhang and Fei Meng
To improve the localization accuracy of the magnetically controlled capsule endoscope (MCCE), a new localization method, based on the magnetic dipole model, is proposed, where the…
Abstract
Purpose
To improve the localization accuracy of the magnetically controlled capsule endoscope (MCCE), a new localization method, based on the magnetic dipole model, is proposed, where the anti-disturbance permanent magnet (APM) is used as the source of stable magnetic field, thus reducing the interference of the geomagnetic field or the electric conductor magnetic field in the system.
Design/methodology/approach
The coupling magnetic force model between the APM and the capsule endoscope is established to obtain the magnetic force relationship and magnetic induction intensity. Along the three axes, magnetic induction intensity data are collected by a 3 × 3 sensor array composed of nine magnetic field intensity sensors, while the data are uploaded to the main computer by the STM32F103C8T6 control board over a ESP8266 WIFI module connection. Next, the axial magnetic induction intensity data are decoupled to obtain the measurement trajectory, whereas the error function is established based on the calculated trajectory parameters. Finally, the Levenberg–Marquardt (L-M) algorithm is used to solve the position information of the MCCE.
Findings
Experiments show that the average localization error of an MCCE in a straight and circular bend tube is 4.76 mm, whereas in a U-bend tube, it is 6.82 mm.
Originality/value
The optimized simulation value in the linear and bending environment is in good agreement with the experimental value, which verifies the accuracy of the MCCE localization system based on magnetic field sensor array, exhibiting good performance in localization and position tracking while providing a theoretical basis for the subsequent research.
Details
Keywords
Lijun Liu and Zuhua Jiang
The purpose of this paper is to shed light on how technological innovation capabilities (TICs) influence the product competitiveness of Chinese manufacturing enterprises and…
Abstract
Purpose
The purpose of this paper is to shed light on how technological innovation capabilities (TICs) influence the product competitiveness of Chinese manufacturing enterprises and identify the key technological innovation components.
Design/methodology/approach
Quantitative research setting was applied in Chinese Yangtze River Delta. Survey was carried out with 166 responses.
Findings
The study reveals that the firm’s strategies capabilities, knowledge resources, fundamental research, application R & D, and manufacturing capabilities have significant influence on the new product development performance and product competitiveness of Chinese manufacturing enterprises. Interestingly, firm’s organizational capabilities and human, finance, and material resource have no significant correlation with the product competitiveness.
Practical implications
From a practical perspective, the relationships among TICs enablers, processes, and product competitiveness may provide a clue regarding how firms can promote technological innovation to sustain their competitive advantage. Moreover, the key factors of TICs found in the study are useful for policy makers and managers of Chinese firms to make decision.
Originality/value
This study is one of the first studies to apply the structure equation model method to measure the relationship between TICs and product competitiveness under the background of Chinese manufacturing. The results provide a new framework on the how technological innovation capability influence product competitiveness of Chinese manufacturing firms. From a managerial perspective, this study identifies several crucial TICs factors to support product competitiveness, and discusses the implications of these factors for developing organizational strategies that encourage technological innovation.