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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
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Cloud Computing has been growing over the last few years as a result of cheaper access to high speed Internet connection and many applications that comes with it. Its infrastructure allows it to provide services and applications from anywhere in the world. However, there are numerous technical, non-technical and security issues that come with cloud computing. As cloud computing becomes more adopted in the mainstream, these issues could increase and potentially hinder the growth of cloud computing. This paper investigates what cloud computing is, the technical issues associated with this new and evolving computing technology and also the practical applications of it. It also addresses and highlight the main security issues in cloud computing
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Nonlinear optics is a fascinating field, which plays a vital role in the emerging field of photonics and optoelectronics. A nonlinear optical crystal of L-alanine grown in aqueous solution of hydrofluoric acid is done by slow evaporation method. L-alanine is an NLO material and it has a Second Harmonic Generation (SHG) efficiency of about 0.3 times that of KDP. To alter the various properties of L-alanine, single crystals of L-alanine have been grown in the aqueous solution of hydrofluoric acid. In this work, Lalanine was admixtured with hydrofluoric acid (LAHF) in the molar ratio of 1:1. The grown crystals were colorless and transparent and they were subjected to various studies for characterization.The third-order nonlinearities of LAHF crystal have been investigated by Z-scan method. The values of nonlinear refractive index (n2), the nonlinear absorption coefficient (β) and third-order nonlinear susceptibility (χ(3)) are estimated for the sample
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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...
Adoption of Integrated Healthcare Information System in Nairobi County: Kenya...
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The most important purpose of grid networks is resource subscription in a dynamic and heterogeneous environment. They are accessible through using various methods. Subscription has mainly computational, scientific and other implications. In order to reach grid purposes and to use available resources in grid environment, subtasks are distributed among resources and are scheduled by considering the quality of service. It has been tried to distribute subtasks between resources in a way that maximum QOS can be obtained. In this study, a method has been presented. In this method, three parameters; namely, sent and transferred time between RMS and resource, process time of subtask by the resource, and the load of available tasks in resources row, have been taken into account. In this way, multi-criteria decision is made by using TOPSIS method and this priority of the resources are determined to assign them to subtasks. Finally, time response, as an efficient parameter, has been improved and optimized by optimal assignment of the resources to subtasks.
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In present study, we generalize order linked trade credit policy in three echelon supply chain system where manufacturer, distributor and retailer are involved and manufacturer provide a delay period to distributor and distributor also provide a order linked trade credit policy to his retailers. Whole study is discussed in time dependent production and demand rate. We model a three echelon supply chain system as cost minimization to determine the system’s optimal cycle time. In this paper, we determine the optimal cycle time, optimal order quantity and optimal payment time. Finally numerical examples are given to illustrate the result and the managerial insights are also obtained
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Now a day’s social or computer networks produced graphs of thousands of nodes & millions of edges. Such Large graphs are used to store and represent information. As it is a complex data structure it requires extra processing. Partitioning or clustering methods are used to decompose a large graph. In this paper dependent set based graph partitioning approach is proposed which decomposes a large graph into sub graphs. It creates uniform partitions with very few edge cuts. It also prevents the loss of information. The work also focuses on an approach that handles dynamic updation in a large graph and represents a large graph in abstract form.
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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
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Cloud Computing has been growing over the last few years as a result of cheaper access to high speed Internet connection and many applications that comes with it. Its infrastructure allows it to provide services and applications from anywhere in the world. However, there are numerous technical, non-technical and security issues that come with cloud computing. As cloud computing becomes more adopted in the mainstream, these issues could increase and potentially hinder the growth of cloud computing. This paper investigates what cloud computing is, the technical issues associated with this new and evolving computing technology and also the practical applications of it. It also addresses and highlight the main security issues in cloud computing
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guest0771c3d
Nonlinear optics is a fascinating field, which plays a vital role in the emerging field of photonics and optoelectronics. A nonlinear optical crystal of L-alanine grown in aqueous solution of hydrofluoric acid is done by slow evaporation method. L-alanine is an NLO material and it has a Second Harmonic Generation (SHG) efficiency of about 0.3 times that of KDP. To alter the various properties of L-alanine, single crystals of L-alanine have been grown in the aqueous solution of hydrofluoric acid. In this work, Lalanine was admixtured with hydrofluoric acid (LAHF) in the molar ratio of 1:1. The grown crystals were colorless and transparent and they were subjected to various studies for characterization.The third-order nonlinearities of LAHF crystal have been investigated by Z-scan method. The values of nonlinear refractive index (n2), the nonlinear absorption coefficient (β) and third-order nonlinear susceptibility (χ(3)) are estimated for the sample
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Second order and Third order NLO studies of L- alanine crystals grown in aque...
Editor IJCATR
Consulta
Consulta
soto
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...
Adoption of Integrated Healthcare Information System in Nairobi County: Kenya...
Editor IJCATR
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Propose a Method to Improve Performance in Grid Environment, Using Multi-Crit...
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Editor IJCATR
In present study, we generalize order linked trade credit policy in three echelon supply chain system where manufacturer, distributor and retailer are involved and manufacturer provide a delay period to distributor and distributor also provide a order linked trade credit policy to his retailers. Whole study is discussed in time dependent production and demand rate. We model a three echelon supply chain system as cost minimization to determine the system’s optimal cycle time. In this paper, we determine the optimal cycle time, optimal order quantity and optimal payment time. Finally numerical examples are given to illustrate the result and the managerial insights are also obtained
Order Size Dependent Trade Credit Study in a Three Echelon Supply Chain Model
Order Size Dependent Trade Credit Study in a Three Echelon Supply Chain Model
Editor IJCATR
Now a day’s social or computer networks produced graphs of thousands of nodes & millions of edges. Such Large graphs are used to store and represent information. As it is a complex data structure it requires extra processing. Partitioning or clustering methods are used to decompose a large graph. In this paper dependent set based graph partitioning approach is proposed which decomposes a large graph into sub graphs. It creates uniform partitions with very few edge cuts. It also prevents the loss of information. The work also focuses on an approach that handles dynamic updation in a large graph and represents a large graph in abstract form.
A Dependent Set Based Approach for Large Graph Analysis
A Dependent Set Based Approach for Large Graph Analysis
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.
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