Optical sensors exist in various forms and one of them is fiber bragg gratings (FBG). Performance evaluation was simulated for FBG sensing. The simulation involves different grating profiles tested with complete optical sensing system. The system involves a broadband light source, FBG of various profiles and optical spectrum analyser for data interpretation. Different profile of…

Complete manual annotation of dependency treebank needs resources like annotators and annotation tools and takes long time and has high possibility of inconsistent annotations for free word order languages such as Myanmar. This paper describes a dependency head annotation scheme with Universal part-of-speech and Universal Dependencies for Myanmar dependency treebank. Currently 22,810 sentences and 680,218…

Computer vision offers several strategies that permit computers to comprehend the substance of inputted data to extract the relevant highlights features. That gives the possibility to develop several successful recognition systems like face identification. One of the enormous difficulties these days is the way to have a prompt identification face in a multi-client identification system.…

Advances in optimizing optical fiber communications have been on the rise these recent years due to the increasing demand for larger data bandwidths and overall better efficiency. Coherent optics have focused on many kinds of research due to its ability to transport greater amounts of information, have better flexibility in network implementations, and support different…

Most crossroads use a traffic light to communicate between human-driven vehicles by conveying to the drivers when to stop and when to proceed in an organized fashion. However, the stop and wait nature of traffic lights cause slower mobility, leading to congestion. This paper presents a localization scheme based on two-dimensional (2D) flat geometry adaptation…

Nowadays, automatic number plate recognition (ANPR) is very important especially in the era of smart cities and intelligent transport systems. Fully automated number plate detection and recognition system helps in reducing time, error, and cost for tracking of vehicles and for recording traffic violations. The main goal of this paper is to design a low…

Dithering or error diffusion is a technique used to obtain a binary image, suitable for printing, from a grayscale one. At each step, the algorithm computes an allowed value of a pixel from a grayscale one, applying a threshold and, therefore, causing a conversion error. To obtain the optical illusion of a continuous tone, the…

This work presents the development and improvement obtained by implementing inventory managing practices during the COVID 19 pandemic in a Mexican company, a leader in the industrial sector to overcome the effects on the Company’s economies due to constrained market to maintain liquidity and preserve employment by increasing customer service level ensuring the availability of…

The main objective of this research is to analyze the impact that the implementation of a strategic plan would have on achieving the competitiveness of the micro, small and medium enterprises (MSMEs) that are dedicated to bottling, marketing and distributing water in the city of Los Mochis. It is intended to offer a tool to…

The performance of Simultaneous Clustering and Model Selection Matrix Affinity (SCAMSMA) and Deep Divergence-Based Clustering (DDC) in clustering wireless mul- tipaths generated by COST 2100 channel model (C2CM) is compared. Enhancing the accuracy of clustering multipaths is an open area of research which the clustering ap- proaches try to improve. Jaccard index is used as…

Feature selection method applied on an intrusion dataset is used to classify the intrusion data as normal or intrusive. We have made an attempt to detect and classify the intrusion data using rank-based feature selection classifiers. A set of redundant features having null rank value are eliminated then the performance evaluation using various feature selection…

A grid is a system that can manage and organize services and resources that spread amongst different control domains, employ interfaces and protocols, and offer a high quality of services. The integration of Multi-Agent Systems (MAS) with a grid environment significantly affects grid performance. MAS is considered a suitable solution for open systems that modify…

Currently, increasing penetration of the Wind Energy Conversion System (WECs) in Power generation systems has influenced the supply of electrical power reliability for the consumer in comparison with other traditional sources. In this paper, the performance and efficiency of a new optimization approach referred to as the “Differential Evolution Optimization Algorithm” (DEOA) to measure the…

Accurate machining control is indispensable for the smart factories of tomorrow. Variations in controller responses may cause unacceptable process deviations during machining leading to productivity losses and possible damage. In the present work, a complex order PIα+jβDγ+jθ(COPID) controller was designed to effectively control surface roughness generation while machining CNT Al-Mg hybrid composites. Performance of the…

This paper is an extension of work originally presented in PM2.5 Prediction-based Weather Forecast Information and Missingness Challenges: A Case Study Industrial and Metropolis Areas, which focused on imputation algorithm to solve missingness challenge and demonstrated a basic prediction system to prove the proposed algorithm, II-MPA. Distributed and decentralized systems, recently, have been proven for…

Wind energy is emerged rapidly as the most important and viable sustainable power source due to the mature technology and wide availability. The integration of wind energy sources and utilization of nonlinear loads having different characteristics results in several challenges in a distribution system. One of which is power quality issue .Hence, in this work,…

The performance of indoor illumination control in many applications, such as in an intelligent building, relies on the quality of the light sensors. In many cases, the light level is not uniform and depends on the direction of the illumination source. It usually requires multiple sensors set up in different directions to gather the overall…

Long-range, Low-Power Wide Area Network (LoRaWAN) is a very scalable solution for the Internet of Things (IoT). Due to the air channel environment’s complexity, connectivity is a crucial parameter for successfully planning and deploying the IoT networks. Measurements and simulations have been used to evaluate LoRaWAN propagation models in the Urban environment, but it is…

Technology is advancing faster today than ever before with evidence of its impact in all facets of our lives. With the spread of the novel COVID-19 pandemic across the world, schools were closed as part of lockdown measures to contain the virus thereby disrupting academic curricula. Academic institutions leveraged ICTs to virtually engage students and…

In this paper we propose the application of supervised learning techniques to recognize stress situations in drivers by analyzing their Skin Potential Response (SPR) and the Electrocardiogram (ECG). A sensing device is used to acquire the SPR from both hands of the drivers, and the ECG from their chest. We also consider a motion artifact…

Knowledge-based approach is wield used in various NLP applications. For example, to evaluate the semantic similarity between words, the semantic evidence in lexical ontologies (wordnets) is commonly used. The success of the English WordNet (EnWN) in this domain has inspired the creation of several wordnets in different languages, including the Arabic WordNet (ArWN). The English…

Smart agriculture concept uses innovative solutions including IoT and Cloud storage features, dedicated sensors for monitoring basic agricultural parameters, new communications protocols, etc. SmartAgro architecture comprises a telemetry system for Key Performance Indicators (KPIs) such as air & soil temperature, air & soil relative humidity, leaf wetness, etc. The current paper outlines the reliability of…

From amateur players who enjoy sports throughout their lives to top athletes who participate in international competitions, interest in improving sports skills is growing. Coaches and their coaching are indispensable for improving sports skills, but it is difficult for many athletes, especially amateur athletes, to secure coaching. However, we thought that anyone could easily receive…

The adoption of Engine-in-the-loop technology shows real behaviour. This study presents a test runs simulation platform with real engine data. In addition, a test bench model is a demand approach that offers a significant potential to provide an excellent reproducibility of test runs. The platform includes the data integration to upgrade tests run and a…

The revolution in the electrification of conventional vehicles due to increased petroleum prices and environmental concerns has had its impact on three-wheeler vehicles as well. Motorized three-wheeled vehicles, known as Auto-rickshaws, are a standard mode of trans- portation in India. Existing battery operated electric rickshaws (known as E-rickshaws) available in major cities of India faces…