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International Journal of Advances in Applied Sciences
ISSN : 22528814     EISSN : 27222594     DOI : -
International Journal of Advances in Applied Sciences (IJAAS) is a peer-reviewed and open access journal dedicated to publish significant research findings in the field of applied and theoretical sciences. The journal is designed to serve researchers, developers, professionals, graduate students and others interested in state-of-the art research activities in applied science areas, which cover topics including: chemistry, physics, materials, nanoscience and nanotechnology, mathematics, statistics, geology and earth sciences.
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Articles 406 Documents
Physical Properties and Compressive Strength of Zinc Oxide Nanopowder as a Potential Dental Amalgam Material Nanang Qosim; Putut Murdanto; Poppy Puspitasari
International Journal of Advances in Applied Sciences Vol 7, No 2: June 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (395.404 KB) | DOI: 10.11591/ijaas.v7.i2.pp97-101

Abstract

In this study, the application of nanotechnology was applied in the dentistry field, especially in the innovation of dental amalgam material. To date, mercury (Hg) has been used widely as dental amalgam material with consideration of the cheap price, ease of use, and good mechanical strength. However, last few years, many problems have been faced in the dentistry field due to the use of mercury. Hence, new material is needed as an innovation to eliminate the mercury from dental amalgam composition. This research was conducted to analyze the physical properties and compressive strength of zinc oxide (ZnO) nanopowder as a potential dental amalgam material. The physical properties such as morphology and dimensions were analyzed by SEM and XRD. Further, the compression test was conducted by using hydraulic press machine. The results showed that the ZnO nanopowder analyzed has the particle size of 14.34 nm with the morphology classified as nanorods type. On the compression load of 500 kg, the average of ZnO green density is 3.170 g/cm3. This value experienced the increase of 4.763% when the load was set to 1000 kg, and 7.539% at 2000 kg. The dwelling time also took the same effect. At 30 seconds, the average of ZnO green density is 3.260 g/cm3. This value experienced the increase of 0.583% at 60 seconds and 3.098% at 90 seconds.
The Combination of Steganography and Cryptography for Medical Image Applications B. Kiran Bala; R. Sasi Kumar
International Journal of Advances in Applied Sciences Vol 7, No 2: June 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (149.929 KB) | DOI: 10.11591/ijaas.v7.i2.pp102-104

Abstract

To give more security for the biomedical images for the patient betterment as well privacy for the patient highly confidently patient image report can be placed in database. If unknown persons like hospital staffs, relatives and third parties like intruder trying to see the report it has in the form of hidden state in another image. The patient detail like MRI image has been converted into any form of steganography. Then, encrypt those image by using proposed cryptography algorithm and place in the database.
A Novel Handoff Necessity Estimation Approach Based on Travelling Distance Jyoti Madaan; Indu Kashyap
International Journal of Advances in Applied Sciences Vol 7, No 2: June 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (493.89 KB) | DOI: 10.11591/ijaas.v7.i2.pp105-116

Abstract

Mobility management is one of the most important challenges in Next Generation Wireless Networks (NGWNs) as it enables users to move across geographic boundaries of wireless networks. Nowadays, mobile communications have heterogeneous wireless networks offering variable coverage and Quality of Service (QoS). The availability of alternatives generates a problem of occurrence of unnecessary handoff that results in wastage of network resources. To avoid this, an efficient algorithm needs to be developed to minimize the unnecessary handoffs. Conventionally, whenever  Wireless Local Area Network (WLAN) connectivity is available, the mobile node switch from cellular network to wireless local area network  to gain maximum use of high bandwidth and low cost of wireless local area network as much as possible. But to maintain call quality and minimum number of call failure, a considerable proportion of these handovers should be determined. Our algorithm makes the handoff to wireless local area network only when the Predicted Received Signal Strength (PRSS) falls below a threshold value and travelling distance inside the wireless local area network is larger than a threshold distance.Through MATLAB simulation, we show that our algorithm is able to improve handover performance.
An Examination of the Impact of Power Sector Reform on Manufacturing and Services Sector in Nigeria: an Empirical Analysis Emmanuel Ameh Ojiya; Ngwu Jerome Chukwuemeka; B.A. Daneji; George Duhu Isiwu
International Journal of Advances in Applied Sciences Vol 7, No 2: June 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (256.146 KB) | DOI: 10.11591/ijaas.v7.i2.pp117-126

Abstract

The main objective of this study is to empirically examine the impact of Power Sector Reform on Manufacturing and Services Sector in Nigeria between 1999-2016. The study employed secondary annual time series data sourced from World Bank database (2016). The methodology adopted for the study was Augmented Dickey-Fuller (ADF); a test for long-run relationship using ARDL Bounds Testing approach  with analysis of long-run and short-run dynamics in the model. A striking revelation from the study is the inverse relationship that exists between manufacturing output and electricity consumption in Nigeria within the period referenced. This negative relationship is not unconnected with widespread allegation of misappropriation of budgeted funds for the Power Sector by successive administrations in Nigeria since 1999.  It must be stated in clear terms that constant and consistent electricity generation, transmission and distribution is sine-qua-none for the growth of the national economy. Virtually all sectors of the economy depend on the supply of electricity to do business and so the lack of this vital ingredient of growth contributes in no small measure in stagnating economic growth and development. Efforts at reforming the power sector can only be fruitful when ALL stakeholders in the power sector including the political class put away their personal agendas and take the bull by the horn towards rescuing the nation from the looming danger of stagnant economic growth. Furthermore, there is the need for the Nigerian government to come up with new, better and alternative ways of improving energy generation and supply, as well as proper maintenance of electricity infrastructure in the country.
Study and optimization of a renewable system of small power generation Mohammed Salim Hadjidj; Bibi Triki Faouzi; Didi Faouzi
International Journal of Advances in Applied Sciences Vol 7, No 3: September 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (617.599 KB) | DOI: 10.11591/ijaas.v7.i3.pp199-211

Abstract

In this paper, a study was conducted on the sustainable development of solar and wind energy sources. The approach adopted is to exploit the two renewable resources by arriving to determine optimal configurations of photovoltaic and / or wind energy system with storage to provide electricity to a self-contained residential apartment located in the city of Tlemcen , in Algeria. The Tlemcen site showed a more favourable trend to use the photovoltaic system alone on the hybrid PV / wind system because of the low wind speeds of this site. The calculation method used is based on the monthly averages for ten consecutive years, data collected by the Tlemcen Zenâta weather station in order to have a better reliability analysis of an electric power generation system. In addition, the methods used in this study can be used to determine the optimal size of the most economical hybrid system that corresponds to any site in the world and for any requested load. 
Software System Package Dependencies and Visualization of Internal Structure Ahmad Abdul Qadir Alrababah
International Journal of Advances in Applied Sciences Vol 7, No 1: March 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (310.544 KB) | DOI: 10.11591/ijaas.v7.i1.pp13-20

Abstract

This manuscript discusses the visualization methods of software systems architecture with composition of reverse engineering tools and restoration of software systems architecture. The visualization methods and analysis of dependencies in software packages are written in Java. To use this performance graphit needs to describe the relationships between classes inside the analyzed packages and between classes of different packages. In the manuscript also described the possibility of tools to provide the infrastructure for subsequent detection and error correction design in software systems and its refactoring.
CP-NR Distributed Range Free Localization Algorithm in WSN Deepak Prashar; Kiran Jyoti; Dilip Kumar
International Journal of Advances in Applied Sciences Vol 7, No 3: September 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (469.453 KB) | DOI: 10.11591/ijaas.v7.i3.pp212-219

Abstract

Advancements in wireless communication technology have empowered the researchers to develop large scale wireless networks with huge number of sensor nodes. In these networks localization is very active field of research. Localization is a way to determine the physical position of sensor nodes which is useful in many aspects such as to find the origin of events, routing and network coverage.  Locating nodes with GPS systems is expensive, power consuming and not applicable to indoor environments. Localization in three dimensional space and accuracy of the estimated location are two factors of major concern. In this paper, a new three dimensional Distributed range-free algorithm which is known as CP-NR is proposed. This algorithm has high localization accuracy and resolved the problem of existing NR algorithm. CP-NR (Coplanar and Projected Node Reproduction) algorithm makes use of co-planarity and projection of point on plane concepts to reduce the localization error. Results have shown that CP-NR algorithm is superior to NR algorithm and comparison is done for the localization accuracy with respect to variations in range, anchor density and node density.
Data Mining Techniques for Providing Network Security through Intrusion Detection Systems: a Survey Prabhu Kavin B; Ganapathy S
International Journal of Advances in Applied Sciences Vol 7, No 1: March 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (123.168 KB) | DOI: 10.11591/ijaas.v7.i1.pp7-12

Abstract

Intrusion Detection Systems are playing major role in network security in this internet world. Many researchers have been introduced number of intrusion detection systems in the past. Even though, no system was detected all kind of attacks and achieved better detection accuracy. Most of the intrusion detection systems are used data mining techniques such as clustering, outlier detection, classification, classification through learning techniques. Most of the researchers have been applied soft computing techniques for making effective decision over the network dataset for enhancing the detection accuracy in Intrusion Detection System. Few researchers also applied artificial intelligence techniques along with data mining algorithms for making dynamic decision. This paper discusses about the number of intrusion detection systems that are proposed for providing network security. Finally, comparative analysis made between the existing systems and suggested some new ideas for enhancing the performance of the existing systems.
Data Partitioning in Mongo DB with Cloud Aakanksha Jumle; Swati Ahirrao
International Journal of Advances in Applied Sciences Vol 7, No 1: March 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (272.242 KB) | DOI: 10.11591/ijaas.v7.i1.pp21-28

Abstract

Cloud computing offers various and useful services like IAAS, PAAS SAAS for deploying the applications at low cost. Making it available anytime anywhere with the expectation to be it scalable and consistent. One of the technique to improve the scalability is Data partitioning. The alive techniques which are used are not that capable to track the data access pattern. This paper implements the scalable workload-driven technique for polishing the scalability of web applications. The experiments are carried out over cloud using NoSQL data store MongoDB to scale out. This approach offers low response time, high throughput and less number of distributed transaction. The results of partitioning technique is conducted and evaluated using TPC-C benchmark.
Graph Based Workload Driven Partitioning System by using MongoDB Arvind Sahu; Swati Ahirrao
International Journal of Advances in Applied Sciences Vol 7, No 1: March 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (272.191 KB) | DOI: 10.11591/ijaas.v7.i1.pp29-37

Abstract

The web applications and websites of the enterprises are accessed by a huge number of users with the expectation of reliability and high availability. Social networking sites are generating the data exponentially large amount of data. It is a challenging task to store data efficiently. SQL and NoSQL are mostly used to store data. As RDBMS cannot handle the unstructured data and huge volume of data, so NoSQL is better choice for web applications. Graph database is one of the efficient ways to store data in NoSQL. Graph database allows us to store data in the form of relation. In Graph representation each tuple is represented by node and the relationship is represented by edge. But, to handle the exponentially growth of data into a single server might decrease the performance and increases the response time. Data partitioning is a good choice to maintain a moderate performance even the workload increases. There are many data partitioning techniques like Range, Hash and Round robin but they are not efficient for the small transactions that access a less number of tuples. NoSQL data stores provide scalability and availability by using various partitioning methods. To access the Scalability, Graph partitioning is an efficient way that can be easily represent and process that data. To balance the load data are partitioned horizontally and allocate data across the geographical available data stores. If the partitions are not formed properly result becomes expensive distributed transactions in terms of response time. So the partitioning of the tuple should be based on relation. In proposed system, Schism technique is used for partitioning the Graph. Schism is a workload aware graph partitioning technique. After partitioning the related tuples should come into a single partition. The individual node from the graph is mapped to the unique partition. The overall aim of Graph partitioning is to maintain nodes onto different distributed partition so that related data come onto the same cluster.

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