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Keyword: SEProposal of an Embedded Methodology that uses Organizational Diagnosis and Reengineering: Case of bamboo panel company
This work is an extension of the Proceedings of the International Conference on Industrial Engineering, Management Science and Applications, which presented some of the phases of Reengineering applied to Bamboo Panel Company; the results were Strategic planning, Systemic Diagnosis and Performance Indicators through the Balanced Scorecard. Now, the main purpose of this article is to…
Read MoreSoft Handoff Evaluation and Efficient Access Network Selection in Next Generation Cellular Systems
The increased motivation (by service providers) to offer user-centric and seamless communication services – that satisfies users’ quality of experience (QoE), has manifested a myriad of challenges in the field of wireless communication; and given the increased traffic capacity and sudden explosion of cellular devices, communication systems are constantly threatened by performance related issues –…
Read MoreCall Arrival Rate Prediction and Blocking Probability Estimation for Infrastructure based Mobile Cognitive Radio Personal Area Network
The Cognitive Radio usage has been estimated as non-emergency service with low volume traffic. Present work proposes an infrastructure based Cognitive Radio network and probability of success of CR traffic in licensed band. The Cognitive Radio nodes will form cluster. The cluster nodes will communicate on Industrial, Scientific and Medical band using IPv6 over Low-Power…
Read MoreA Secure Automated Elevator Management System and Pressure Sensor based Floor Estimation for Indoor Mobile Robot Transportation
In this paper, a secure elevator handling system is presented to enable a flexible movement of wheeled mobile robots among laboratories distributed in different floors. The automated handling system consists mainly of an ADAM module which has the ability to call the elevator to the robot’s current floor and to request the destination floor. The…
Read MoreCOTS – Harsh Condition Effects Considerations from Technology to User Level
Radiation hardened devices are mostly extremely expensive. The continuously downscaling of microelectronic structures and the unavoidable presence of particle radiation on ground and in space leads to unwanted failures in electronic devices. Furthermore it is expected that in the next few years around 8000 new satellites will be launched around the world. Due to the…
Read MoreAn Ontology-Based Temporal Scheduling and Complexity Reduction Model for Timetabling Knowledge Management
Technological tools such as Semantic Web and ontologies have contributed immensely to the reduction of most managerial complexities on daily basis. However, most resolved complexities are solely dependent on the emerging issues which are not general enough to accommodate some specific domain challenges. Temporal scheduling complexities occur in several domains including timetabling, but inter-departmental courses…
Read MoreOn the Performance of a Clustering-based Task Scheduling in a Heterogeneous System
Recent task scheduling algorithms for a generalized workflow job in heterogeneous system adopt list-based scheduling. In those algorithms, the response time cannot be effectively reduced if the given workflow job is data-intensive. If the workflow job is computationally intensive, an attempt is made to assign tasks to many processors, which can lead to resource starvation.…
Read MoreClean Energy Use for Cloud Computing Federation Workloads
Cloud providers seek to maximize their market share. Traditionally, they deploy datacenters with sufficient capacity to accommodate their entire computing demand while maintaining geographical affinity to its customers. Achieving these goals by a single cloud provider is increasingly unrealistic from a cost of ownership perspective. Moreover, the carbon emissions from underutilized datacenters place an increasing…
Read MorePixel-Based Unsupervised Classification Approach for Information Detection on Optical Markup Recognition Sheet
This paper proposed an Optical Markup Recognition (OMR) system to be used to detect shaded options of students after MCQ-type examinations. The designed system employed the pixel-based unsupervised classification approach with image pre-processing strategies and compared its efficiencies, in terms of speed and accuracy, with object-based supervised or unsupervised classification OMR systems. Speed and accuracy…
Read MoreA Machine Learning based Framework for Parameter based Multi-Objective Optimisation of Video CODECs
All multimedia devices now incorporate video CODECs that comply with international video coding standards such as H.264 / MPEG4-AVC and the new High Efficiency Video Coding Standard (HEVC), otherwise known as H.265. Although the standard CODECs have been designed to include algorithms with optimal efficiency, a large number of coding parameters can be used to…
Read MoreLookup Tables-based mean level detection of spatially distributed targets in non Gaussian clutter
In this paper, Constant False Alarm Rate (CFAR) detection of spatially distributed targets embedded in compound Gaussian clutter with Inverse Gamma texture is addressed. By taking into account the fact that clutter parameters are unknown in practical situations, we propose mean level based on Lookup Tables detectors, that operate as a two-step approach, which consists…
Read MoreAnalytical and Algorithmic Approaches to Determine the Number of Sensor Nodes for Minimum Power Consumption in LWSNs
A Linear Wireless Sensor Network (LWSN) is a kind of wireless sensor network where the nodes are deployed in a line. Since the sensor nodes are energy restricted, energy efficiency becomes one of the most significant design issues for LWSNs as well as wireless sensor networks. With the proper deployment, the power consumption could be…
Read MoreImage Navigation Using A Tracking-Based Approach
Navigation is often performed using the Global Positioning Satellite system. However, the system is not always reliable for use at all times in all contexts. Reliance solely on such systems could endanger a vessel or get people lost. Another approach to provide navigation is to use known landmarks and triangulate one’s position. A navigation solution…
Read MoreMonocular Height Estimation Method with 3 Degree-Of-Freedom Compensation of Road Unevennesses
Height estimation of objects is a valuable information for locomotion of autonomous robots and vehicles. Even though several sensors such as stereo cameras have been applied in these systems, cost and processing time have been motivating solutions with monocular cameras. This research proposes two new methods: i) height estimation of objects using only a monocular…
Read MoreUse of machine learning techniques in the prediction of credit recovery
This paper is an extended version of the paper originally presented at the International Conference on Machine Learning and Applications (ICMLA 2016), which proposes the construction of classifiers, based on the application of machine learning techniques, to identify defaulting clients with credit recovery potential. The study was carried out in 3 segments of a Bank’s…
Read MoreCAM-Infrastructure: a novel solution for service advertisement in Cooperative Intelligent Transportation Systems
Cooperative Intelligent Transportation Systems (C-ITS) are gaining ground and currently are almost part of our everyday life. A C-ITS environment can provide numerous services that soon will become essential to roads’ users. The latter resides in improvement of road safety, entertainment, and commercial services. However, in order to provide such services, the C-ITS environment needs…
Read MoreRadiation Hybrid Mapping: A Resampling-based Method for Building High-Resolution Maps
Abstract— The process of mapping large numbers of markers is computationally complex, as the increase of numbers of markers results in an exponential increase in the mapping runtime. Also, having unreliable markers in the dataset adds more complexity to the mapping process. In this research, we have addressed these two issues and proposed our solution.…
Read MoreEvaluating the Effect of Mozart Music and White Noise on Electroencephalography Pattern toward Visual Memory
Listening to auditory stimuli during study can give positive and negative influence on human cognitive processing. Thus, it has attracted researchers to conduct studies using various types of auditory stimuli. Some researchers believe that Mozart music and white noise are able to give positive influence on cognitive performance. However, most of the past studies gave…
Read MoreHybrid Ontology-based knowledge with multi-objective optimization model framework for Decision Support System in intercropping
The problem of multi-criteria or multi-objective intercropping crop planning makes it vital to consider all related factors under the constraints that will produce the highest revenue and minimum cost. Principles of intercropping elements including soil type, plant area, plant diseases, planting and harvesting time and economics factors (e.g. price, cost) are some of the factors…
Read MoreThe effect of employing knowledge workers from technologically advanced countries: The knowledge spillover caused by the mobility of knowledge workers in electronic industries in Asia
This paper is an extension of work originally presented in 2017 6th International Conference on Industrial Technology and Management (ICITM) [53]. This research focuses on the mobilization of human resources in the Asian electrical industry and analyzes the impact of engineers’ international mobility on the innovation of enterprises in the host countries. I examine the…
Read MoreA Category Based Threat Evaluation Model Using Platform Kinematics Data
Command and control (C2) systems direct operators to make accurate decisions in the stressful atmosphere of the battlefield at the earliest. There are powerful tools that fuse various instant piece of information and brings summary of those in front of operators. Threat evaluation is one of the important fusion method that provides these assistance to…
Read MoreMulti-attribute Reverse Auction Design Based on Fuzzy Data Envelopment Analysis Approach
Multi-attribute reverse auction is widely used for the procurements of enterprises or governments. To overcome the difficulty of identifying bidding attribute weight and score function of the buyer, the multi-round auction and bidding models with multiple winners are established based on fuzzy data envelopment analysis. The winner determination model of the buyer considers the integrated…
Read MoreContent Reordering Based on Mouse-tracking for Web Applications
Rising usage of web applications in every aspect of life has created intense need of enhancement of user experience and formation of intelligent web applications. This research work was conducted with a view to do so. This paper focuses on the reorganization of web application content based on user’s specific interests while browsing any web…
Read MoreA Secure Communication Framework for ECUs
Electronic Control Units (ECUs) generate diagnostic and telemetric data that is communicated over the internal vehicular network. ECUs are resource constraint devices and have limited resources to devote for data security. In recent times, threats against vehicular networks have emerged that require attention of the research community. In this paper, we demonstrate data security threats…
Read MoreProposal for a Visualization System of Purchase Relationship Using ID-POS Data
In recent years, big data analysis is gaining immense credence in the fields of academics and business. Businesses such as management and marketing have demonstrated a strong inclination and interest in data analytics. However, many businesses are unable to utilize data even if they have access to it. The main reason for that is the…
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