Title
Author
Year
Volume
:
2024
Vol. 1
no. 1
Vol. 2
2023
Vol. 1
no. 1
no. 2
2022
Vol. 1
no. 1
2021
Vol. 1
no. 1
2019
Vol. 1
no. 1
no. 2
2013
Vol. 1
no. 1
Vol. 2
no. 1
2011
Vol. 1
no. 1
Vol. 2
no. 1
2010
Vol. 1
no. 1
no. 2
Vol. 2
Vol. 0
Vol. 1
Volume 1, Number 2, 2019
A Framework for Intelligent Road Monitoring System using Smart Sensors
Pages
:
1-6
Samy El-Tawab, Stephan Olariu
We introduce a novel system to monitor traffic using deployed nodes placed uniformly on the highway to monitor the road traffic. We take advantage of the Cat eye's on the road by adding sensing capability (metal detectors) with embedded processors, the sensing feature provides an accurate detection of the average number of vehicles and its average speed on the highway using an aggregation function. The main goal of the proposed system is to monitor the traffic flow on the highways and to provide drivers with safety notifications messages. In our system, we calculate the size of clustering and communication timing between nodes. For power consumption, our system implements two concepts: converting solar light to power in conjunction with a sleep/awake mode of operation. We can reach a power life of at least one year before maintenance might be required. Our simulation calculates the cluster size between nodes in different modes of operations. Our model gives an intelligent road system to highways. The main advantages of our system are its low cost, easy of deployment and reduced maintenance.
A Conceptual Framework for Collaborative Decision Support Systems
Pages
:
7-14
Rajan Vohra, Gunjan Pahuja, M. P. Chaudhary
In this paper, a collaborative architecture for intelligent decision support system (DSS) for health care systems is proposed. The framework embeds expert knowledge within the DSS to provide intelligent decision support, and implements the intelligent DSS using collaboration technologies. A problem space contains several Hub and Spoke networks. Information about such networks is dynamically captured and represented in a Meta-data table. This master table enables collaboration between any two networks in the problem space, through load transfer between them.
SMS Based Microcomputer Control System (MCS) for Computer Automation and Security
Pages
:
15-20
Awodele Oludele, Adamo David, Kadiri Kamal-Deen, Orekoya Morolake
This paper presents a cost-effective solution that provides a means of controlling microcomputers remotely and also enables computer security against intrusion when an authorized computer user is absent. The system is based on SMS technology and provides an ideal solution to computer users and system administrators who are not always at the computer's immediate location but need to carry out basic computer operations and prevent unauthorized access. The Microcomputer Control System (MCS) is built with mobility in mind such that it would provide remote access to a microcomputer while providing security. Hence, this paper proposes a system that allows users to control their computers ubiquitously and also provide security on detection of intrusion by the use of SMS/GSM technology.
Improved Algorithm for Orthogonal Rectangular Packing Problem
Pages
:
21-25
Rachid Ouafi, Isma Dahmani
In this paper, we develop a modified version of the Best First Branch and Bound algorithm (BFBB) proposed in [5] for solving exactly the Orthogonal Rectangular Packing problem (ORP). The ORP consists to pack a given set of small rectangles in an enclosing final rectangle. In our proposed version, we introduce a new upperbound in order to reduce the problem space search. We also propose new strategies that eliminate several duplicate packing patterns. Extensive computational testing onseveral randomly generated problem instances shows the effectiveness of the proposed algorithm.
Improving Web Information Retrieval Using Shared Contexts
Pages
:
26-35
Andy M. Connor, Dilip K. Limbu, Stephen G. MacDonell, Russel Pears
The effective utilisation of a user's context in improving the performance of web search engines is a subject of intense research interest. In particular, much attention has been directed to the enhancement of queries and the provision of more relevant information by taking user context into account. Progress in this field has been limited to date, however, due to ongoing challenges in capturing and representing contextual information. We describe here the development and evaluation of a web-based contextual information retrieval that addresses some of these challenges and makes progress in defining the information required to create contextual profiles. Our system collects and leverages implicit and explicit user data to modify queries with the aim of more accurately reflecting the user's interests. This data is maintained dynamically in each user's contextual profile and utilised to improve the quality of information found during web searches. Where enabled, this data also contributes to the development of a shared contextual knowledge base that can also be used to augment queries. This shared contextual knoweldge base is a key aspect of this research. The system has been tested in an observational study that has considered its ability to improve the user's web search experience. This paper presents experimental data to provide evidence of the system's performance, demonstrating that the shared contextual knowledge base extends the functionality associated with the individual contextual profile.
A New Scheme for Improving Route Discovery and Route Maintenance for Mobile Ad Hoc (MANET)
Pages
:
36-41
Majid Jafri, Syed Rizvi, Laiali Almazaydeh, Aasia Riasat
This paper presents a new scheme for the Distance Source Routing (DSR) protocol which shows the improvement over the two major metrics of the DSR protocol: Route Discovery and Route Maintenance. In addition, we present a mathematical model that includes probability density function for these two observed metrics. Our simulation results demonstrate a significant improvement in the route discovery, transmission time, and the overall network utilization. As an interesting side result, our analysis also shows that the proposed model can be used to effectively reduce the packet losses.
New Aspects of Implementing a Distributed System
Pages
:
42-47
Marius-Constantin Popescu, Cristinel Popescu
Nowadays the implemented distributed systems havearchitectural varieties which have similar characteristics and development problems. This paper presents the architectural detail of a distributed system and the concepts which enable the development of distributed applications.
PARAFAC Identification of Higher Order Volterra Kernels
Pages
:
48-54
Nabiha Saidi, Hassani Messaoud
Volterra series are used to model a large class of non linear systems. The resulting model which is linear with respect to its parameters, suffers from the high number of these parameters which bereaves its use in real time applications. To reduce this complexity we assume that the high order kernels can be described by tensors which may be split into two-dimensions matrices. The splitting operation is due to PARAFAC (PARAllel FACtor) decomposition and the matrix components identification is accomplished by an Alternating Least Square (ALS) technique.In this paper we detail the identification of the PARAFAC decomposition of third order Volterrakernels. For higher order we reduce in a first step the corresponding tensor to a third order one for which we identify the three matrices components using ALS algorithm. Then we use the Singular ValueDecomposition (SVD) to determine all the matrices of the PARAFAC decomposition of higher order kernel.
Performance Comparison of Interactive Multiple Model - Extended Kalman Filter for Bearings - only Tracking
Pages
:
55-60
Ravi Kumar Jatoth, Abhinav Bezgam, Ravi Kiran Nety
Online tracking of maneuvering target is a highly non-linear andchallenging problem in which the unknown state of the target is estimatedfrom noisy observations. The bearings-only tracking has the advantage ofdirect measurement of the target location, from the beam crossing. Toprocess the non-linear measurements, Extended Kalman Filter(EKF) andUnscented Kalman filter(UKF) are generally used. If the target ismaneuvering and switching among different models like constant velocity(CV), constant acceleration (CA) or constant turn (CT) interactive multiplemodels (IMM) are employed. In this paper, IMM-EKF is comprehensivelyevaluated and its performance is compared with conventional KF and EKF interms of robustness, computational complexity and error performance.
A Role based Address Cleaner
Pages
:
61-67
Md. Abul Bashar, Md. Mashiur Rahman, Abdullah Al Rahed, Md. Misbahul Alam Chowdhury, Md. Pervez Sajjad
About 80% to 90% of governmental and business datacollections contain address information. In many cases, address records arecaptured and/or stored in a free-form or inconsistent manner. There are manycauses to dirty data: misuse of abbreviations, data entry mistakes, controlinformation hiding, missing fields, spelling, outdated codes etc. Due to the`garbage in, garbage out' principle, dirty data will distort informationobtained from it. The purpose of address cleaning is to maximize the valueof address data and ensure that every address is spelt correctly andproperly structured. This improves accuracy and standardization in mailing,boosts company image, reduces mailing costs, and through geocoding opens upa number of opportunities to support strategic decisions through accuratespatial analysis. We report the implementation of a role based addresscleaner. In this address cleaner we define indicators and grammars foraddress cleaning and thus make the cleaning process configurable.
Ontology Distiller: Extracting Databases From Health Ontologies
Pages
:
68-74
Yip Chi Kiong, Sellappan Palaniappan, Nor Adnan Yahaya
Many ontologies have been built over the past few years which contain a large amount of data that may be useful for specific research. However, they may not be designed to be easily processed by current database tools. This paper proposes an ontology distiller, which is a method to extract information from an ontology and create a set of databases. The database information is distilled from the encoded ontology. These databases are used to store the information for the purpose of analysis and integration.
Constrained Navigation with Mandatory Waypoints in Uncertain Environment
Pages
:
75-85
Francois Lucas, Christophe Guettier, Patrick Siarry, Anne-Marie Milcent, Arnaud de La Fortelle
This paper presents a hybrid solving method for vehicle path planning problems. As part of the vehicle system architecture (vetronic), planning is dynamic and has to be activated on-line, which requires response times to be compatible with mission execution. The proposed approach combines constraint solving techniques with an Ant Colony Optimization (ACO). The hybridization relies on a static probing technique which builds up a search strategy using a distance information between problem variables and a heuristic solution. Various forms of this approach are compared and evaluated on real world scenarios. Preliminary results exhibit response times close to vehicle control requirements, on realistic problem instances.
Home
|
Aims and scopes
|
Editorial board
|
Published issues
|
Instruction for authors