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Nigeria is an oil producing nation which have been relying heavily on oil revenue for its economic well being. Oil depletes and its price can crash making dependence on oil as a mono means for the country’s future futile. Information and communication technology (ICT) on the other hand has impacted the economic growth of various nations such as India. ICT seems to be a key factor in stimulating the development of a country’s productivity across most sectors of the economy and ensuring global competiveness and a move to a New Economy. This Paper examines if a causal relationship exists between ICT and economic wellbeing (GCI) and if ICT can offer a way forward for Nigeria to move from oil based to service and product based economy. The paper also conducts an empirical analysis to find out if oil producing nations experience better growth against ICT innovative nations using 10 countries. The results of the analysis support the believe that ICT led development and of the existence of a causal link between ICT and economic growth and non-existence of a causal link between oil production alone and economic development.

Ijcatr04061008

Editor IJCATR

Transmitting the geo-location information of a target via wireless networks is effective when both the target and the tracker are within Wi-Fi coverage area; the 802.11 wireless networks are not always accessible. When the target or the tracker is unable to access Wi-Fi, it is impossible to perform location tracking. Therefore, SMS is a relatively more reliable and flexible solution because of its widespread use. In this system, a device is equipped with a global system for mobile communications (GSM) modem and a GPS unit. It transmits short messages containing its GPS coordinates to the server at 30-s intervals. Although transmitting the geo-location information of a target via wireless networks is effective when both the target and the tracker are within Wi-Fi coverage area, the 802.11 wireless networks are not always accessible. When the target or the tracker is unable to access Wi-Fi, it is impossible to perform location tracking. In this System, a novel method called location-based delivery (LBD), which combines the short message service (SMS) and global position system (GPS). LBD reduces the number of short message transmissions while maintaining the location tracking accuracy within the acceptable range. The proposed approach, LBD, consists of three primary features: Short message format, location prediction, and dynamic threshold. The defined short message format is proprietary.

Location Based Tracking System for Emergency Services

Editor IJCATR

Because of it is applicability in various field, multi-instance learning or multi-instance problem becoming more popular in machine learning research field. Different from supervised learning, multi-instance learning related to the problem of classifying an unknown bag into positive or negative label such that labels of instances of bags are ambiguous. This paper uses and study three different k-nearest neighbor algorithm namely Bayesian -kNN, citation -kNN and Bayesian Citation -kNN algorithm for solving multiinstance problem. Similarity between two bags is measured using Hausdroff distance. To overcome the problem of false positive instances constructive covering algorithm used. Also the problem definition, learning algorithm and experimental data sets related to multi-instance learning framework are briefly reviewed in this paper

Study of Different Multi-instance Learning kNN Algorithms

Editor IJCATR

Flier

TallboysTees

Sistem Penyampaian Sekolah

fafa111283

In this paper, we propose an illumination-robust face recognition system using local directional pattern images. Usually, local pattern descriptors including local binary pattern and local directional pattern have been used in the field of the face recognition and facial expression recognition, since local pattern descriptors have important properties to be robust against the illumination changes and computational simplicity. Thus, this paper represents the face recognition approach that employs the local directional pattern descriptor and two-dimensional principal analysis algorithms to achieve enhanced recognition accuracy. In particular, we propose a novel methodology that utilizes the transformed image obtained from local directional pattern descriptor as the direct input image of two-dimensional principal analysis algorithms, unlike that most of previous works employed the local pattern descriptors to acquire the histogram features. The performance evaluation of proposed system was performed using well-known approaches such as principal component analysis and Gabor-wavelets based on local binary pattern, and publicly available databases including the Yale B database and the CMU-PIE database were employed.

Illumination Invariant Face Recognition System using Local Directional Patter...

Editor IJCATR

Los Nunca Mas 3

Luis Alberto Jiménez Manrique

Benzophenone is one of the promising organic NLO materials for their high energy laser photonic applications and hence this review is mainly emphasized on the discussion of growth, efficiency and applications of low melting organic NLO benzophenone crystals in order to improve their structural and physical properties. To grow bulk and good quality benzophenone crystals by various techniques adopted has been discussed such as slow evaporation method, Microtube-Czochralski method, and Vertical Bridgman method. It is acknowledged that the size and the efficiency of the growing benzophenone single crystal varies with that of the techniques we are using has been discussed below. The SHG efficiency of pure benzophenone crystal also been compared with the standard KDP crystal. Also optical transparency behaviour of the benzophenone crystal has also been reviewed.

Efficient growth techniques and properties of Benzophenone Single Crystals fo...

Editor IJCATR

The goal of quality assessment (QA) research is to design algorithms that can automatically assess the quality of images in a perceptually consistent manner. Image QA algorithms generally interpret image quality as fidelity or similarity with a “reference” or “perfect” image in some perceptual space. In order to improve the assessment accuracy of white noise, Gauss blur, JPEG2000 compression and other distorted images, this paper puts forward an image quality assessment method based on phase congruency and gradient magnitude. The experimental results show that the image quality assessment method has a higher accuracy than traditional method and it can accurately reflect the image visual perception of the human eye. In this paper, we propose an image information measure that quantifies the information that is present in the reference image and how much of this reference information can be extracted from the distorted image.

Visual Image Quality Assessment Technique using FSIM

Editor IJCATR

Cancer is the most deadly disease among the human life. Breast Cancer is one of the most common cancers in this industrialized world and it is the most common cause of cancer related death among worldwide. Many segmentation technologies and clustering technologies like K-Means, K-Mediod, CLARANS etc have been proposed to identify the microcalcifications but this paper presents our new approach of identification of cancer cells in the images containing with noise and the performance analysis

A Novel DBSCAN Approach to Identify Microcalcifications in Cancer Images with...

Editor IJCATR

Health care information systems are aimed at facilitating the smooth running and interoperability of the health care delivery processes to ensure efficiency and effectiveness; however, the complexity, heterogeneity and diversity of the health care sector especially in Kenya poses serious challenges especially in relation to integration of the systems. There is a large disconnect between the public and private health care delivery systems characterized by fragmentation of services, locally within hospitals (among primary, secondary and tertiary health care settings) and across different health care centers. This research is aimed at examining the adoption of integrated healthcare information system in Nairobi County; Kenyatta National Hospital represents the public sector and The Mater Hospital the private sector. A sample size of 100 users on information system from the two hospitals picked from the primary secondary and tertiary levels were selected and questionnaires administered to them. Data was analyzed through descriptive statistics with the aid of SPSS. The results of the study indicated that there was a huge disparity between healthcare information system adoption in the public and private sectors with the private sector’s adoption being at an advanced stage. The major barriers to adoption including social political barriers, financial constraints and technical/technological barriers also presented.

Adoption of Integrated Healthcare Information System in Nairobi County: Kenya...

Editor IJCATR

The development of information technology should be ordered to improve the services including job fair information system services. This work aimed to develop of web-based job fair information system. The methods used in this work consists of collecting data method, and software development method. Collecting data method using observations, interview, and literature study. Software development method using waterfall model comprising the steps of requirements, specfification and design, implementation, testing, deployment, and maintenance. The results of this work is software web-based information system provided a job information, registration, and test schedule information.

Development of Web-based Job Fair Information System

Editor IJCATR

Artículos publicados en prensa.La Vanguardia Culturas

lolapardo

Fuerza Chile

Luis Alberto Jiménez Manrique

Hector

Hectorarmando

Wireless Sensor Network (WSN) consists of very large number of sensor nodes which are deployed close to the area which is to be monitored so as to sense various environmental conditions. WSN is a data-driven network which produces large amount of data and also sensor nodes are energy-limited devices and their energy consumption is mainly associated with data routing. Therefore it is necessary to perform redundant data aggregation so as to save energy. In this work data aggregation is achieved with the help of two key approaches namely Clustering approach and In-network data aggregation. These two approaches help to save energy and thereby increasing the lifetime of the network. The proposed work has some key features like reliable cluster formation, high data aggregation rate, priority of packets, minimized overhead, multiple routes, reduced energy consumption which enhance the network lifetime. The performance evaluation of the proposed approach is carried out using Network Simulator- version 2

A Reliable Routing Technique for Wireless Sensor Networks

Editor IJCATR

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Ijcatr04061008

Location Based Tracking System for Emergency Services

Study of Different Multi-instance Learning kNN Algorithms

Flier

Sistem Penyampaian Sekolah

Illumination Invariant Face Recognition System using Local Directional Patter...

Los Nunca Mas 3

Efficient growth techniques and properties of Benzophenone Single Crystals fo...

Visual Image Quality Assessment Technique using FSIM

A Novel DBSCAN Approach to Identify Microcalcifications in Cancer Images with...

Adoption of Integrated Healthcare Information System in Nairobi County: Kenya...

Development of Web-based Job Fair Information System

Artículos publicados en prensa.La Vanguardia Culturas

Fuerza Chile

Hector

A Reliable Routing Technique for Wireless Sensor Networks

2009 Cpr For Everyone Flyer 2

Artículos publicados en prensa. ABC

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