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Keyword: ProcessFuzzy Uncertainty Management in Multi-Shift Single-Vehicle Routing Problem
Our research deals with the single-vehicle routing problem (VRP) with multi-shift and fuzzy uncertainty. In such a problem, a company constantly uses one vehicle to serve demand over a scheduling period of different work shifts. Our issue relies on a routing problem in maintenance jobs, where a crew executes jobs in different sites. The crew…
Read MoreEmotional Impact of Suicide on Active Witnesses: Predicting with Machine Learning
Predicting the impact of suicide on incidental witnesses at an early stage helps to avert the possible side effect. When suicide is committed in public, incidental observers are left to grapple with it. In many cases, these incidental witnesses tend to experience the emotional side effect with time. In this study, we employed a Machine…
Read MoreEconomic and Social Sustainability for Iraqi Middle Provinces
This research is part of a study concerned with building an integrated framework for development of sustainable urban planning in Iraqi provinces. Seven Iraqi middle provinces are covered in this study. The aim of the study is to determine, measure and evaluate economic and social sustainability in the Iraqi middle provinces. The stages to achieve…
Read MoreAn Approach for Determining Rules used to Select Viable Junction Design Alternatives Based on Multiple Objectives
Transport planners and engineers frequently face the challenge to determine the best design for a specific junction. Many road design manuals provide guidelines for the design and evaluation of different junction alternatives, however these mostly refer to specialized software in which the performances of design alternatives can be modelled. In the first stage of the…
Read MoreThe Effect of Fluence Variations of Nd:YAG Laser Ablation and Sample Condition on Human Tooth
Nd:YAG laser has shown some potential to be used in dental practice replacing the conventional method. In particular, it can be used to modify the tooth surface by the ablation process. The laser provides an ability to accurately deliver a significant amount of energy into a confined region. Thus, alteration of the sample surface and…
Read MoreCharacteristic, Thermochemical Behaviors and Kinetic of Demineralized and Torrefied Empty Fruit Bunches (EFB)
A sequential pre-treatment of demineralization and torrefaction, was carried out on palm empty fruit bunches (EFB). EFB and demineralized EFB (DEFB) were torrefied in a vertical tubular reactor in the temperature range of 200 to 280 °C for 30 mins under nitrogen (flow rate:100 mL/min. The pretreated samples were characterized using proximate and ultimate analyses,…
Read MoreQ-Learning versus SVM Study for Green Context-Aware Multimodal ITS Stations
Intelligent Transportation Systems (ITS) applications can take big advantage of Context Awareness approaches. Parameters such as user mobility, passengers comfort reaction and pollution emission levels (CO2) can enrich such applications during the decision making phase. Moreover, the expanding in ITS services offers great opportunities for travelers to find the best route to reach their destinations…
Read MoreProtecting Private Data using Improved Honey Encryption and Honeywords Generation Algorithm
Nowadays, many companies and organizations use various encryption techniques to secure their private data before send it through the unsecure network. However, many attackers try to store private data by using various attacks. Most of the organizations use password based encryption algorithm (PBE) to protect their private data. However, the existing PBE methods are vulnerable…
Read MoreThe Model Development of an Effective Triggering System of Production Kanban Size towards Just-In-Time (JIT) Production
The contents of this article consist of an extension original work presented at the 4th International Conference on Control, Automation and Robotics (ICCAR 2018) and aims to develop the systematic model of an effective triggering system of production Kanban size towards Just-In-Time (JIT) production system. The developed model was introduced based on the philosophy of…
Read MoreProposed System of New Generation LMS Using Visual Models to Accelerate Language Acquisition
Language skill is a rule-like operation, based on generalized connections. The main property of language skills is awareness. They are formed with conscious mastery of the language means of communication (phonetic, lexical and grammatical). Language acquisition is a complex process which includes a large number of different parameters. Therefore, the study and improvement of language…
Read MoreA Study on Improving Security and Efficiency using Dynamic Ownership Management in Client-Side Deduplication Environments
Data deduplication technology is used to improve the spatial efficiency of cloud storage. This technology is used for storing data on a cloud and omitting data uploading if the data are already present. However, various security threats may occur during the deduplication process. These security threats include poison attacks and user identity exposure through ownership.…
Read MoreDeveloping Students’ Motivation for Learning through Practical Problems in School
This paper is an extension of work originally presented in the 19th International Conference on Computer Supported Education and Information Technology. This paper identifies motivational factors that ensure the initiation and effective implementation of mathematical activity. These factors are in subordination to each other, forming a hierarchical dependence. At the heart of this hierarchy is…
Read MoreA Ubiquitous and Configurable Wrist-Worn Sensor Node in Hazardous Gases Detection
The monitoring of environmental parameters is a critical topic in occupational medicine. With advances in technology, during the recent years, the wearable sensors are widely used to evaluate the ambient parameters. In this paper a compact, small, light-weighted, and configurable sensor node in three physical layers for prolonged chemical ambient monitoring is described. The device…
Read MoreTowards an Efficient Federated Cloud Service Selection to Support Workflow Big Data Requirements
Cloud Computing is considered nowadays an attractive solution to serve the Big Data storage, processing, and analytics needs. Given the high complexity of Big Data workflows and their contingent requirements, a single cloud provider might not be able alone to satisfy these needs. A multitude of cloud providers that offer myriad of cloud services and…
Read MoreSpatial Modeling of Flood Risk in Karawang
Conceptually, flood modeling can be done based on process and data availability (data driven model). The implementation of flood mitigation requires accurate data, which can be obtained from high resolution satellite imagery, vertical air photos and high-resolution Digital Elevation Model (DEM). Modeling using high accuracy DEM data can detect landforms in more detail. The objective…
Read MoreNemoMap: Improved Motif-centric Network Motif Discovery Algorithm
Network motif analysis has several applications in many different fields such as biological study and social network modeling, yet motif detection tools are still limited by the intensive computation. Currently, there are two categories for network motif detection method: network-centric and motif-centric approach. While most network-centric algorithms excel in enumerating all potential motifs of a…
Read MoreComplexity Drivers in Digitalized Work Systems: Implications for Cooperative Forms of Work
Digitalization changes the way people work to a considerable extent. It alters business models and process organizations of whole industries. The ensuing market dynamics and faster innovation cycles cause an increase in complexity. In this article, the interconnection of digitalization and complexity in work systems is analyzed. For this purpose, a framework for comparing relevant…
Read MoreEvolving AL-FEC Application on 5G NGMN-Edge Computing Systems
Fifth generation of mobile networks (5G) comes to cope with the context of the new mobile telecommunications era. Edge computing is a new collaborative technology under standardization utilizing end-user devices or near-end-user edge devices to operate processing, communication, or control operations. The achievement of efficient error control is a very critical aspect in the successful…
Read MoreFPGA Implementation of Ultra-High Speed and Configurable Architecture of Direct/Inverse Discrete Wavelet Packet Transform Using Shared Parallel FIR Filters
This work presents new pipeline-parallel, generic and configurable parallel hardware architectures for the Direct/Inverse Wavelet Packet Transform (DWPT/IDWPT) independent of any specific family of wavelets, implemented in FPGA technology using a parallel architecture of direct FIR filter. We propose in the following paper, new P-parallel structures for the DWPT and IDWPT transforms based on the…
Read MoreAn Optical-based Fingertip Force Sensor
This work introduces the design and prototype development of a novel optical-based fingertip force sensor, which is integrated in a bio-mimetic finger for robotic and prosthetic manipulation. Given the optical nature of the sensor, the proposed device is free of any electrical and metal components. Accordingly, the design improves manipulation of objects with high electromagnetic…
Read MoreEvaluation of Methods for Sentence Similarity for Use in Intelligent Tutoring System
Finding similarity of textual data is very important task in natural language processing. In this article we present approach to finding similarity of words, paragraphs, sentences and documents. Semantic similarity is one of the central tasks in many applications, including text summarization, Intelligent Tutoring Systems (ITS) etc. In ITS sentence similarity is used to compare…
Read MoreAmplitude-Frequency Analysis of Emotional Speech Using Transfer Learning and Classification of Spectrogram Images
Automatic speech emotion recognition (SER) techniques based on acoustic analysis show high confusion between certain emotional categories. This study used an indirect approach to provide insights into the amplitude-frequency characteristics of different emotions in order to support the development of future, more efficiently differentiating SER methods. The analysis was carried out by transforming short 1-second…
Read MoreZebrafish Larvae Classification based on Decision Tree Model: A Comparative Analysis
Screening the abnormal development of the zebrafish embryos before and after being hatched for a large number of samples is always carried out manually. The manual process is presented as a tedious work and low-throughput. The single female fish produce hundreds of eggs in every single mating process, the samples of the zebrafish embryos should…
Read MoreApplication of Modularization Idea of Fault Tree in Ship Pilotage Risk Decision Making
Ship pilotage risk decision-making problems, which is an important issue affecting the safety of navigation. Before the study on the risk decision of ship pilotage, all use direct analysis of fault tree methods. In this paper, through the process analysis of ship pilotage fault tree, the model of fault tree is standardized and simplified. The…
Read MoreThe Impacts of Distribution Generators’ Size and Location on Power Efficiency and Voltage Profile in Radial LV Networks
This paper presents analytical methods for optimum allocation of distribution generators in a radial distribution network. The aim is to increase power efficiency and reduce loss of power. The ideal size of each distribution generator unit at the identified locations has been carefully selected by making adjustments to loss saving equations and the voltage on…
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