VOLUME 13 , ISSUE 1 (Jan 2020) - List of articles

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Modeling and experimental validation of the hysteretic dynamics of shape memory alloy springs

R. A. Abubakar/ Yutian Hu/ Fan Wang/ Linxiang Wang

Abstract In this work, the hysteretic dynamics of a pseudoelastic shape memory alloy (SMA) spring is modeled and tested. A constitutive model of SMA spring is constructed by combining the theory of mechanical spring and the derived SMA constitutive relation. The SMA spring recovery force is modeled by employing the Euler–Lagrange equation based on a non-convex potential function. A macroscopic differential model is formulated to describe the hysteretic dynamics and the pseudoelasticity of the SM(..)

DOI: 10.21307/ijssis-2019-012

Target Characterization Using MIMO Radar

Samarendra Nath Sur/ Soumyasree Bera/ Subhankar Shome/ Rabindranath Bera/ Bansibadan Maji

Abstract The exploitation of coherency gain and diversity gain to improve the MIMO system performance is a burning research topic. This paper is to examine the performance analysis of MIMO radar by utilizing the above-said gains. The authors have analyzed the performance of the MIMO radar, in terms of mathematical modeling, considering the probability of detection and post-processing SNR, with respect to changes in the diversity order. Furthermore, this paper also deals with the practical implem(..)

DOI: 10.21307/ijssis-2019-013

Study on the suitability of ZnO thin film for dynamic pressure sensing application

Suma M. N./ Venkateswarlu Gaddam/ M. V. N. Prasad/ M. M. Nayak/ K. Rajanna

Abstract ZnO thin films were prepared by RF reactive magnetron sputtering on phynox substrate at room temperature for four different thicknesses by varying deposition duration. The structural and morphological properties and composition of these films were characterized using XRD, SEM, and EDS, respectively. Suitability of these films for dynamic pressure sensing applications and the effect of film thickness on dynamic pressure sensing were evaluated experimentally using a shock tube equipment. (..)

DOI: 10.21307/ijssis-2020-002

Robust single target tracking using determinantal point process observations

S. Hernández/ P. Sallis

Abstract The efficiency and robustness of modern visual tracking systems are largely dependent on the object detection system at hand. Bernoulli and Multi-Bernoulli filters have been proposed for visual tracking without explicit detections (image observations). However, these previous approaches do not fully exploit discriminative features for tracking. In this paper, we propose a novel Bernoulli filter with determinantal point processes observations. The proposed observation model can select gr(..)

DOI: 10.21307/ijssis-2020-001

An incremental meter placement method for state estimation considering collinear measurements and high leverage points

Hatim G. Abood/ Victor Sreeram/ Yateendra Mishra

Abstract The performance of the power system state estimation (SE) is influenced by the configuration of the meters and measurement redundancy. Therefore, the measurement set needs to be updated by installing new SCADA meters and phasor measurement units for improving the quality of the SE solution. However, the potential inconsistency between the existing meters and the new meters should be addressed. Otherwise, the additional meters may lead to numerical problems such as collinearity (linear d(..)

DOI: 10.21307/ijssis-2020-004

Intelligent agent for formal modelling of temporal multi-agent systems

Awais Qasim/ Zeeshan Aziz/ Syed Asad Raza Kazmi/ Adnan Khalid/ Ilyas Fakhir/ Jawad Hassan

Abstract Software systems are becoming complex and dynamic with the passage of time, and to provide better fault tolerance and resource management they need to have the ability of self-adaptation. Multi-agent systems paradigm is an active area of research for modeling real-time systems. In this research, we have proposed a new agent named SA-ARTIS-agent, which is designed to work in hard real-time temporal constraints with the ability of self-adaptation. This agent can be used for the formal mod(..)

DOI: 10.21307/ijssis-2020-003

LiDAR derived terrain wetness indices to infer soil moisture above underground pipelines

David Bretreger/ In-Young Yeo/ Robert Melchers

Abstract Corrosion of external cast-iron pipe surfaces, a major contributor to pipe failure, has been attributed to the free water in the soil surrounding the pipe. Because observation at pipe depth is difficult, a potential proxy is the soil surface moisture. Herein highly accurate elevation data derived from airborne light detection and ranging is used to model the distribution of soil water in urban catchments containing pipe infrastructure. The results are compared with local soil moisture T(..)

DOI: 10.21307/ijssis-2020-005

Forest fire detection using wireless sensor networks

Premsai Dasari/ Gundam Krishna Jayanth Reddy/ Abhishek Gudipalli

Abstract A forest has different types of vegetation like herbs, trees, shrubs and different species of animals. In one way or other, these renewable resources are very essential to mankind. Forest fires are the most common hazards in forests which lead to serious destruction of forest wealth, bio-diversity and natural habitat. Early detection and preventive measures are necessary to protect forests from fires. In order to achieve early detection, there are two most used traditional methods of hu(..)

DOI: 10.21307/ijssis-2020-006

A novel approach to label road defects in video data: semi-automated video analysis

Jakob Thumm/ Johannes Masino/ Martin Knoche/ Frank Gauterin/ Markus Reischl

Abstract Road defects like potholes have a major impact on road safety and comfort. Detecting these defects manually is a highly time consuming and expensive task. Previous approaches to detect road events automatically using acceleration sensors and gyro meters showed good results. However, these results could be significantly improved with additional usage of image analysis. A large, labeled image data set is required for training and validation. This paper presents a method to automate parts (..)

DOI: 10.21307/ijssis-2020-007

A review of privacy-preserving human and human activity recognition

Im Y. Jung

Abstract Many automation technologies using software are making humans convenient. One of these technologies is to collect data through cameras and sensors that are common in personal life and automatically recognize human and human activities. The goal of automation is to analyze the various types of big data that are difficult to perform mechanical data mining. Raw data collected from cameras and sensors are nothing but big data before analysis. In this case, how to protect data by secure stor(..)

DOI: 10.21307/ijssis-2020-008

Non-destructive, non-invasive, in-line real-time phase-based reflectance for quality monitoring of fruit

M. Assaad

Abstract Food quality monitoring in the production process is essential. The control of food quality and freshness is of growing interest for both consumer and food industry. Near infrared (NIR) spectroscopy is popular as it does not need any sample preparation. However, NIR spectroscopy is costly and needs reliable calibration. A non-contact, non-destructive optical process is proposed in this work to monitor the quality of the food. It is shown that the reﬂected phase information can be used t(..)

DOI: 10.21307/ijssis-2020-009

Sliding mode control design for the attitude and altitude of the quadrotor UAV

Ahmed Eltayeb/ Mohd Fuaad Rahmat/ Mohd Ariffanan Mohd Basri

Abstract In recent times the quadrotor unmanned aerial vehicles (UAV) systems have been getting significant interest from engineers and researchers because of its applications, including both civilian and military sectors. In this paper, the feedback linearization (FBL) technique is used to linearize the attitude and altitude dynamic equations of the quadrotor. PID controller has been applied to stabilize quadrotor’s attitude and altitude. For robust performance against uncertainty in quadrotor’(..)

DOI: 10.21307/ijssis-2020-011

QRS complex detection and R–R interval computation based on discrete wavelet transform

Aqeel M. Hamad Alhussainy

Abstract QRS represented the most important part of ECG signal, so different researches and studies are performed for QRS recognition. In this paper, a new technique by using wavelet transform is used for de-noising ECG signal by using adaptive threshold, then DWT used to separate the high frequency from the low component, then compute the statistical information from low frequencies to be used in threshold computation, Based on these statics features, lower and upper threshold are calculated, w(..)

DOI: 10.21307/ijssis-2020-010

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