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Article
Publication date: 19 January 2015

Alif Syarafi Mohamad Nor, Mohd Amri Md Yunus, Sophan Wahyudi Nawawi, Sallehuddin Ibrahim and Mohd Fua'ad Rahmat

The purpose of this study is to determine the contamination level in natural water resources because the tremendous development in the agriculture sector has increased the…

Abstract

Purpose

The purpose of this study is to determine the contamination level in natural water resources because the tremendous development in the agriculture sector has increased the amount of contamination in natural water sources. Hence, the water is polluted and unsafe to drink.

Design/methodology/approach

Three types of sensor arrays were suggested: parallel, star and delta. The simulation of all types of sensor array was carried out to calculate the sensors’ impedance value, capacitance and inductance during their operation to determine the best sensor array. The contamination state was simulated by altering the electrical properties values of the environmental domain of the model to represent water contamination.

Findings

The simulation results show that all types of sensor array are sensitive to conductivity, σ, and permittivity, ɛ (i.e. contaminated water). Furthermore, a set of experiments was conducted to determine the relationship between the sensor’s impedance and the water’s nitrate and sulphate contamination. The performance of the system was observed where the sensors were tested, with the addition of distilled water with different concentrations of potassium nitrate and potassium sulphate. The sensitivity of the developed sensors was evaluated and the best sensor was selected.

Practical implications

Based on the outcomes of the experiments, the star sensor array has the highest sensitivity and can be used to measure nitrate and sulphate contaminations in water.

Originality/value

The star sensor array presented in this paper has the potential to be used as a useful low-cost tool for water source monitoring.

Details

Sensor Review, vol. 35 no. 1
Type: Research Article
ISSN: 0260-2288

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Article
Publication date: 13 September 2011

Mohammad Reza Badello, Behzad Moshiri, Babak N. Araabi and Hamed Tebianian

The purpose of this paper is to design and implement a landmine detection robot (Venus) equipped with three electromagnetic sensors and controlled by ordered weighted…

Abstract

Purpose

The purpose of this paper is to design and implement a landmine detection robot (Venus) equipped with three electromagnetic sensors and controlled by ordered weighted averaging (OWA) sensor fusion approach. Higher numbers of detected mines in a fixed time interval and lower total power consumption are the achieved goals of this research.

Design/methodology/approach

OWA sensor fusion is exploited for data combination in this paper. Unlike most other landmine detection robots, Venus has three electromagnetic sensors, the positions of which can be adjusted according to the environmental conditions. Also, a novel approach for OWA weight dedication using Gaussian distribution function is applied and the whole idea is evaluated practically in several randomly mined fields. Finally, for better evaluation, performance of Venus is compared with the other two landmine detection robots.

Findings

The simulation and experimental results proved that in a predetermined interval of time, not only total energy consumption is reduced, but also by expanding the surface and the depth of influence of electromagnetic waves, the number of detected mines is considerably raised.

Social implications

In contrast to the regular demining process, which is relatively expensive and complicated, the landmine detection method proposed in this research is surprisingly simple, cost effective, and efficient. Therefore, it may be attractive for every company or organization in this field of research.

Originality/value

The paper describes research which implements and evaluates a novel control approach based on OWA sensor fusion method, a new way of using Gaussian distribution function for determining OWA weights, and also an adaptive physical configuration for sensors based on environmental conditions.

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Article
Publication date: 7 September 2012

Ali Zamani, Ahmad Mirabadi and Felix Schmid

In writing this paper, the authors investigated the use of electromagnetic sensors in axle counter applications by means of train wheel detection. The purpose of this…

Abstract

Purpose

In writing this paper, the authors investigated the use of electromagnetic sensors in axle counter applications by means of train wheel detection. The purpose of this paper is to improve the detection capability of train wheel detectors, by installing them in the optimal orientation and position, using finite element modeling (FEM) in combination with metamodeling techniques. The authors compare three common metamodeling techniques for the special case of wheel detector orientation: response surface methodology; multivariate adaptive regression splines; and kriging.

Design/methodology/approach

After analyzing the effective parameters of a train wheel detector, an appropriate method for decreasing the system susceptibility to electromagnetic noises is presented.

Findings

The results were validated using a laboratory‐based system and also the results of field tests carried out on the Iranian railway network. The results of the study suggest that the FEM method and a metamodeling technique can reduce the computational efforts and processing time.

Originality/value

In this paper, combination of FEM and metamodeling approaches are used to optimize the railway axle counter coils orientation, which is more insusceptible to electromagnetic noise than initial arrangement used by some signallers.

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Article
Publication date: 27 June 2008

Anna Payne

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Abstract

Details

Sensor Review, vol. 28 no. 3
Type: Research Article
ISSN: 0260-2288

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Article
Publication date: 9 February 2021

Hao Guo, Feng Ju, Ning Wang, Bai Chen, Xiaoyong Wei, Yaoyao Wang and Dan Wang

Continuum manipulators are often used in complex and narrow space in recent years because of their flexibility and safety. Vision is considered to be one of the most…

Abstract

Purpose

Continuum manipulators are often used in complex and narrow space in recent years because of their flexibility and safety. Vision is considered to be one of the most direct methods to obtain its spatial shape. However, with the improvement of the cooperation requirements of multiple continuum manipulators and the increase of space limitation, it is impossible to obtain the complete spatial shape information of multiple continuum manipulators only by several cameras.

Design/methodology/approach

This paper proposes a fusion method using inertial navigation sensors and cameras to reconstruct the shape of continuum manipulators in the whole workspace. The camera is used to obtain the position information, and the inertial navigation sensor is used to obtain the attitude information. Based on the above two information, the shape of the continuum manipulator is reconstructed by fitting Bézier curve.

Findings

The experiment result of single continuum manipulator shows that the cubic Bézier curves is applicable to curve fitting of variable curvature, the maximum fitting error is about 2 mm. Meanwhile, the experiment result shows that this method is not affected by obstacles and can still reconstruct the shape of the continuum manipulators in 3-D space by detecting the position and attitude information of the end.

Originality/value

According to the authors’ knowledge, this is the first study on spatial shape reconstruction of multiple continuum manipulators and the first study to introduce inertial navigation sensors and cameras into the field of shape reconstruction of multiple continuum manipulators in narrow space. This method is suitable for shape reconstruction of manipulator with variable curvature continuum manipulator. When the vision of multiple continuum manipulators is blocked by obstacles, the spatial shape can still be reconstructed only by exposing the end point. The structure is simple, but it has certain accuracy within a certain range.

Details

Industrial Robot: the international journal of robotics research and application, vol. 48 no. 3
Type: Research Article
ISSN: 0143-991X

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Article
Publication date: 1 May 2015

Daniela Corsaro and Chiara Cantù

– The aim of this paper is to explore the role of actors’ heterogeneity and the context of interaction on collective innovation.

Abstract

Purpose

The aim of this paper is to explore the role of actors’ heterogeneity and the context of interaction on collective innovation.

Design/methodology/approach

By using the six sources of heterogeneity identified by Corsaro et al. (2012) – goals, competences and skills, knowledge bases, power/position, perceptions and cultures – the authors describe the cases of two consecutive projects – ESASIM and NeWTeC – developed within Kilometro Rosso Science Park. The collaborative innovative outcome (simulation software) developed in the first phase was subsequently applied by each actor in its specific context. At the macro level, the authors define the processes that describe the role of actors’ heterogeneity in both the contexts of innovation development and application; at the micro level, the authors shed some light on the role of the single actor acting simultaneously as a provider and as a user with respect to different contexts.

Findings

In this paper, the processes through which actors’ heterogeneity and the context of interaction influence the development of innovation (collective/macro-network level) and contribute a better understanding of collective innovation from a perspective that involves each individual actor (single-actor/micro level) are determined. These two phases are labeled in terms of “decontextualizing” and “recontextualizing”, through which it will be recognized how the process of innovation depends on the social context and by the business activities that take place between the organizations. In the paper, term actor is used to refer to organizations taking part in the innovation networks as represented by their key referents.

Research limitations/implications

Further research on this topic could explore not only the single sources of actors’ heterogeneity but also patterns of them and their effects in the different contexts. In addition, looking at the micro level, it would be interesting to understand if, in certain specific phases of innovation development and implementation, one of the roles – provider or user – prevails over the other and which effects it generates.

Practical implications

This case study has important managerial implications. First, by better understanding the role of actors in innovation networks, companies could improve their networking strategies and, consequently, increase the likelihood of their solutions satisfying the needs of the different stakeholders. Second, the management of actors’ heterogeneity seems strictly related to communication practices. As a result, it would be interesting to develop communication training programs addressing companies located in science parks, built around the profiles of the actors’ features, characterizing a certain project and envisioning potential contexts for the development and application of the project outcome. Due to the variety of actors involved and the changing nature of the contexts in which they operate, standardizing communication practices could, in fact, be less effective. Finally, we also see implications for the management company of the science and technology park, which should think in a more comprehensive way about the different sources of actors’ heterogeneity and their potential consequences once they build interorganizational collaborations and thus interdisciplinary teams.

Social implications

Using the Intellimech case, the role of actors’ heterogeneity and the context interaction in innovation networks, with respect to two different levels of analysis, is explored. On the collective-macro level, the set of actors in the network was considered; on the micro level, each single business actor as part of the wider network is concentrated upon.

Originality/value

This paper positions in this debate and, in particular, attempts to understand if and how actors’ heterogeneity and the context of interaction influence innovation networks. In effect, while the literature includes sporadic references to the role of the two elements, they have not yet been jointly considered. To reach this goal, two levels of analysis were adopted: a macro network level considering the set of business actors collectively and a micro level looking at the single actor as part of the wider network. Empirically, this paper will describe the case of two projects developed within Intellimech, an innovation network located at Kilometro Rosso Science Park, an aggregation node of relationships and connections around innovation purposes.

Details

Journal of Business & Industrial Marketing, vol. 30 no. 3/4
Type: Research Article
ISSN: 0885-8624

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Article
Publication date: 30 September 2020

Wei Jiang, Dehua Zou, Xiao Zhou, Gan Zuo, Gao Cheng Ye and Hong Jun Li

The purpose of this study is to solve the key technical problems of the practical application of electric robots. The UHV multi-split transmission line power cable…

Abstract

Purpose

The purpose of this study is to solve the key technical problems of the practical application of electric robots. The UHV multi-split transmission line power cable operation robot is an important equipment to ensure the reliable operation of high voltage lines and is a useful exploration to realize high-quality power transmission. As the robot system platform equipment mature and operation environment gradually become more complex, the double arm coordination motion control in extreme environment becomes one of the main bottleneck for its practical in power system.

Design/methodology/approach

This paper summarizes the key technologies related to power cable robots, and aims at key technical indicators such as operation reliability, operation efficiency and operation quality in the robot’s practical process. The dynamic evolution mechanism of the robot’s mechanical configuration, the multi-physics information fusion algorithm in extreme environments, the robot’s autonomous positioning and its error compensation control, the robot’s robust motion control in extreme environments and the dual-arm force-position hybrid coordination control and the dynamic distribution and elimination mechanism of internal forces in the closed chain between robots and operating objects, all the research methods and solutions of the key technologies are proposed, respectively.

Findings

Finally, a new control architecture for power cable robots in the background of the Ubiquitous Power Internet of Things is proposed so as to manage the operation and maintenance of electric power systems. The above key technologies are a new exploration of the operation and maintenance management of EHV (Extra High Voltage) multi-split transmission lines which have laid a solid theoretical foundation for the power cable robot.

Originality/value

High voltage transmission line is the main channel of power transmission. It is an important means to improve the integration of operation and maintenance management of power system to use robot instead of manual inspection and maintenance of power line, in the promotion and application of electric robot. The authors pay attention to the practicability, and the breakthrough of key technologies of robot is the premise of the practicability of robot. In this paper, the robot operation and control in multi-task and complex scenes are studied. The research and implementation of the main key technologies, such as the dynamic evolution mechanism of robot configuration, the coupling and fusion law of multi physical fields in the extreme electric power environment, the autonomous positioning control of manipulator, the robust control of robot in the super electromagnetic field environment and the cooperative operation control of multi manipulator, are discussed.

Details

Industrial Robot: the international journal of robotics research and application, vol. 48 no. 1
Type: Research Article
ISSN: 0143-991X

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Article
Publication date: 20 October 2014

Ping Zhang, Guanglong Du and Di Li

The aim of this paper is to present a novel methodology which incorporates Camshift, Kalman filter (KFs) and adaptive multi-space transformation (AMT) for a human-robot…

Abstract

Purpose

The aim of this paper is to present a novel methodology which incorporates Camshift, Kalman filter (KFs) and adaptive multi-space transformation (AMT) for a human-robot interface, which perfects human intelligence and teleoperation.

Design/methodology/approach

In the proposed method, an inertial measurement unit is used to measure the orientation of the human hand, and a Camshift algorithm is used to track the human hand using a three-dimensional camera. Although the location and the orientation of the human can be obtained from the two sensors, the measurement error increases over time due to the noise of the devices and the tracking errors. KFs are used to estimate the location and the orientation of the human hand. Moreover, to be subject to the perceptive limitations and the motor limitations, human operator is hard to carry out the high precision operation. An AMT method is proposed to assist the operator to improve accuracy and reliability in determining the pose of the robot.

Findings

The experimental results show that this method would not hinder most natural human-limb motion and allows the operator to concentrate on his/her own task. Compared with the non-contacting marker-less method (Kofman et al., 2007), this method proves more accurate and stable.

Originality/value

The human-robot interface system was experimentally verified in a laboratory environment, and the results indicate that such a system can complete high-precision manipulation efficiently.

Details

Industrial Robot: An International Journal, vol. 41 no. 6
Type: Research Article
ISSN: 0143-991X

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Article
Publication date: 30 June 2021

Oualid Araar, Kheireddine Benjdia and Ivan Vitanov

The widespread use of drones among the general public has led to an alarming increase in accidents, some with lethal consequences. As drone blades are made from rigid…

Abstract

Purpose

The widespread use of drones among the general public has led to an alarming increase in accidents, some with lethal consequences. As drone blades are made from rigid materials and rotate at very high speeds, their impact with a human body can result in fatal injuries. Reliable collision detection combined with near-instantaneous braking of the drone’s rotor(s) can substantially lessen the severity of injuries sustained. The purpose of this paper is to achieve a safety solution which can be easily integrated into new products, or retrofitted into existing systems.

Design/methodology/approach

Through a proof of concept, this paper demonstrates the possibility of detecting a collision with a drone propeller absent any hardware modifications to the drone’s instrumentation. The solution relies on current-sensor readings, ordinarily used for monitoring the battery status of electrically actuated drones. The braking is achieved purely by reconfiguring the motor’s control strategy, without the need for additional hardware, as has been the case in previous works.

Findings

This paper demonstrates the possibility of detecting a collision with a drone propeller absent any hardware modifications to the drone’s instrumentation.

Originality/value

Compared to previous works which require installing additional hardware, the solution is purely software. This makes it very easy to integrate into existing systems or new products, at no additional cost. In experiments conducted on a prototype system, the solution was shown capable of detecting a collision and braking the motor in fewer than 20 ms. This allowed attenuating centimetre-deep cuts made to a piece of meat by an unprotected rotor to mere superficial scratches.

Details

Aircraft Engineering and Aerospace Technology, vol. 93 no. 6
Type: Research Article
ISSN: 1748-8842

Keywords

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Article
Publication date: 14 January 2014

Feng Qiu Xu, Xianze Xu, Zhongbing Li and Yi Le

The metal detector used as a wall scanner has become a kind of popular household instrument. It is important to possess the characteristics, including low-cost…

Abstract

Purpose

The metal detector used as a wall scanner has become a kind of popular household instrument. It is important to possess the characteristics, including low-cost, reliability, easy repeatability and simple procedure in this device. The purpose of this paper is to found a model of differential probe applied to metal detector.

Design/methodology/approach

The new model consists of an emitting coil and a differential receiving coil. The emitting coil uses winding inductance to produce a magnetic field and the receiving coil senses the change of magnetic flux. All turns of the receiving coil are designed in the same plane, so it can be fabricated with signal printed circuit board. The balance of differential probe is promised by the constraint relation of the parameters, including the radius and the turns of the receiving coil and the emitting coil. A novel fine adjustment has been proposed to offset the design error that can make the model more ideal.

Findings

The differential probe can be produced easily and need not to be calibrated. In the design, the amplifier and the filter circuit is used for the output signal processing and the harmonic analysis based on Fourier transform is used to analyze the voltage signal in order to detect and distinguish the metallic object. The differential probe in the prototype, which area is π×352 (mm2), can detect the cylindrical metallic object including iron, and aluminum which thickness is 2 mm and radius is 30 mm in the distance of 120 mm.

Originality/value

The model of differential probe proposed in the paper is feasible and effective to apply in the hand-held metal detector.

Details

Sensor Review, vol. 34 no. 1
Type: Research Article
ISSN: 0260-2288

Keywords

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