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International Journal of Advanced Research in Computer Science and Software Engineering最新文献

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Analysis of Spectrum Sensing in Cognitive Radio Network with OFDM 基于OFDM的认知无线网络频谱感知分析
International Journal of Advanced Research in Computer Science and Software Engineering Pub Date : 2018-07-30 DOI: 10.23956/ijarcsse.v8i6.725
Shadab Khan, Pawandeep Kaur
{"title":"Analysis of Spectrum Sensing in Cognitive Radio Network with OFDM","authors":"Shadab Khan, Pawandeep Kaur","doi":"10.23956/ijarcsse.v8i6.725","DOIUrl":"https://doi.org/10.23956/ijarcsse.v8i6.725","url":null,"abstract":"With the development of a new and ever expanding wireless applications and services, spectrum resources are facing in demands. In present scenario, the spectrum allotment has been done by providing each new service with its own fixed frequency Slot. Most of the user’s spectrum is already assigned, so it becomes very difficult to find spectrum for other users or existing users. This leads to the scarcity of available spectrum and inefficient channel utilization. Cognitive radio is a novel technology which improves the spectrum utilization by allowing secondary user to borrow unused radio spectrum from primary licensed users or to share the spectrum with the primary users. Present paper deals with the spectrum sensing in which multiple users detect the spectrum gap through energy detection and investigate the detection performance in an efficient and implementable way. Simulation results showed that the probability of detection is achieved at small value SNR in case of OFDM modulation as compare the other and simple cognitive environment.","PeriodicalId":415241,"journal":{"name":"International Journal of Advanced Research in Computer Science and Software Engineering","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132053703","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Face Spoof Detection System Based on Genetic Algorithm and Artificial Intelligence Technique: A Review 基于遗传算法和人工智能技术的人脸欺骗检测系统研究进展
International Journal of Advanced Research in Computer Science and Software Engineering Pub Date : 2018-06-30 DOI: 10.23956/ijarcsse.v8i6.722
D. Anand, Kamal Gupta
{"title":"Face Spoof Detection System Based on Genetic Algorithm and Artificial Intelligence Technique: A Review","authors":"D. Anand, Kamal Gupta","doi":"10.23956/ijarcsse.v8i6.722","DOIUrl":"https://doi.org/10.23956/ijarcsse.v8i6.722","url":null,"abstract":"Face recognition is an alternative means to authenticate a person in different applications for access control. Instead of many improvements, this method is prone to various attacks like photos, 3D masks and video replay attack. Due to these attacks, system should require a face spoof detection system. A face spoof detection systems have an ability to identify whether a face is from a real person or a fake image. Face spoofing effect the image by adding deformation in it and also degrades the image pattern quality. Face spoofing detection system automatically identifies the human face is a true face or a fake face. In today's era, face recognition method is widely used to authenticate the face (like for unlocking mobile phones etc.) and providing access to the services or facilities but some intruders use various trick to crack the authentication system by presenting the false face in front of the authentication system, so it become necessity to prevent our face authentication system from face spoofing attack. So the choice of the technique to detect the face spoofing attack should be accurate and highly efficient.","PeriodicalId":415241,"journal":{"name":"International Journal of Advanced Research in Computer Science and Software Engineering","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131214599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Monitoring and Prediction of Air Quality using Neural Network 基于神经网络的空气质量监测与预测
International Journal of Advanced Research in Computer Science and Software Engineering Pub Date : 2018-06-30 DOI: 10.23956/IJARCSSE.V8I6.716
Shwetal Raipure
{"title":"Monitoring and Prediction of Air Quality using Neural Network","authors":"Shwetal Raipure","doi":"10.23956/IJARCSSE.V8I6.716","DOIUrl":"https://doi.org/10.23956/IJARCSSE.V8I6.716","url":null,"abstract":"Air Quality monitoring is very important in today s world. There are many harmful pollutants present in the air which are very harmful for human health. Prolonged consumption of such air may lead to severe death and harmful diseases. It is also harmful for crops as well as animals which may damage natural environment. There are  several pollutants which are present in the air that decreases the quality of air such as sulfur oxide, nitrogen dioxide, carbon monoxide and dioxide, and particulate matter. Neural Network  can be used for prediction of population for short term as well as long term using a deep learning technologies. Neural network specify two types of predictive models. the first one is the a temporal which is for short-term forecast of the pollutants in the air for the short coming or nearest days and the second one is  a spatial forecast of atmospheric pollution index in any point of city. The artificial neural networks takes initial information and consider the hidden dependencies are used to improve the efficiency and accuracy of the ecology management decisions. In this paper the forecasting of atmospheric air pollution index in industrial cities based on the  neural network model has proposed.","PeriodicalId":415241,"journal":{"name":"International Journal of Advanced Research in Computer Science and Software Engineering","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115325151","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
EXPERT SYSTEMS: A PRIMER 专家系统:入门
International Journal of Advanced Research in Computer Science and Software Engineering Pub Date : 2018-06-30 DOI: 10.23956/IJARCSSE.V8I6.614
Matthew N. O. Sadiku, Yonghui Wang, Suxia Cui, Sarhan M. Musa
{"title":"EXPERT SYSTEMS: A PRIMER","authors":"Matthew N. O. Sadiku, Yonghui Wang, Suxia Cui, Sarhan M. Musa","doi":"10.23956/IJARCSSE.V8I6.614","DOIUrl":"https://doi.org/10.23956/IJARCSSE.V8I6.614","url":null,"abstract":"Expert systems are one of the most exciting and promising applications of computers. An expert system (ES) is an intelligent computer system that contains an organized body of knowledge and emulates an expert problem solving skills. It is designed to emulate the decision-making ability of a human expert. This paper provides a primer on expert systems, their features, applications, benefits, and challenges.","PeriodicalId":415241,"journal":{"name":"International Journal of Advanced Research in Computer Science and Software Engineering","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131290716","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
SOFT COMPUTING: AN INTRODUCTION 软计算:介绍
International Journal of Advanced Research in Computer Science and Software Engineering Pub Date : 2018-06-30 DOI: 10.23956/IJARCSSE.V8I6.615
M. Sadiku, Yonghui Wang, Suxia Cui, S. Musa
{"title":"SOFT COMPUTING: AN INTRODUCTION","authors":"M. Sadiku, Yonghui Wang, Suxia Cui, S. Musa","doi":"10.23956/IJARCSSE.V8I6.615","DOIUrl":"https://doi.org/10.23956/IJARCSSE.V8I6.615","url":null,"abstract":"Soft computing (SC) is a newly emerging multidisciplinary field. It is a collection of computational techniques, such as expert systems, fuzzy logic, neural networks, and evolutionary algorithms, which provide information processing capabilities to solve complex practical problems. The major benefit of SC lies in its ability to tolerate imprecision, uncertainty, partial truth, and approximation in processing imprecise and inaccurate information and simulating human decision making at low cost. This paper provides a brief introduction on soft computing.","PeriodicalId":415241,"journal":{"name":"International Journal of Advanced Research in Computer Science and Software Engineering","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115282298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Measurement-based Statistical Method for Estimating and Verifying Signal Coverage and Coverage Probability in Urban Microcells 基于测量的城市微基站信号覆盖及覆盖概率估计与验证方法
International Journal of Advanced Research in Computer Science and Software Engineering Pub Date : 2018-06-30 DOI: 10.23956/IJARCSSE.V8I6.724
J. Isabona, K. Obahiagbon
{"title":"Measurement-based Statistical Method for Estimating and Verifying Signal Coverage and Coverage Probability in Urban Microcells","authors":"J. Isabona, K. Obahiagbon","doi":"10.23956/IJARCSSE.V8I6.724","DOIUrl":"https://doi.org/10.23956/IJARCSSE.V8I6.724","url":null,"abstract":"Customer’s complaints and concerns about radio signal coverage at their home are important trigger to performance relevant drive test in the relevant area to observe the coverage quality. In this paper, statistical approach has been employed to assess the quality of the radio coverage and outage probability based on measured radio signals in an established UMTS network, operational in Ikoyi, a typical urban microcell in Nigerian environment. The results shows that the quality of radio signals at the cell edge is very poor in locations 2 and 4, as they recorded poor coverage probability performance of 89.25% and 81.72% and high outage probability performance of 10.74% and 18.28% respectively. It is also observed that the smaller the fade margin, the higher the outage probability and the lower the coverage reliability. This implies that the smaller the fade margin, the smaller the received signal strength at the MS and the more likely outage events. Hence, sufficient signal strength is needed at the mobile terminals at locations 2 and 4 in order to achieve the outage probability and coverage reliability required to effectively operate cellular communication networks.","PeriodicalId":415241,"journal":{"name":"International Journal of Advanced Research in Computer Science and Software Engineering","volume":"159 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114649711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
COMPUTATIONAL HUMANITIES 计算人文
International Journal of Advanced Research in Computer Science and Software Engineering Pub Date : 2018-06-30 DOI: 10.23956/ijarcsse.v8i6.381
N. Ampah, M. Sadiku, O. Momoh, S. Musa
{"title":"COMPUTATIONAL HUMANITIES","authors":"N. Ampah, M. Sadiku, O. Momoh, S. Musa","doi":"10.23956/ijarcsse.v8i6.381","DOIUrl":"https://doi.org/10.23956/ijarcsse.v8i6.381","url":null,"abstract":"Computational humanities is at the intersection of computing technologies and the disciplines of the humanities. Research in this field has steadily increased over the past years. Computational tools supporting textual search, large database analysis, data mining, network mapping, and natural language processing are employed by the humanities researcher.  This opens up new realms for analysis and understanding.  This paper provides a brief introduction into computational humanities.","PeriodicalId":415241,"journal":{"name":"International Journal of Advanced Research in Computer Science and Software Engineering","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117100985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
A Review on Introduction to Docker and its Features Docker简介及其特性综述
International Journal of Advanced Research in Computer Science and Software Engineering Pub Date : 2018-06-29 DOI: 10.23956/IJARCSSE.V8I6.710
M. Yasir
{"title":"A Review on Introduction to Docker and its Features","authors":"M. Yasir","doi":"10.23956/IJARCSSE.V8I6.710","DOIUrl":"https://doi.org/10.23956/IJARCSSE.V8I6.710","url":null,"abstract":"Docker is an open source platform that provides the facility of containerization. The applications that are built in the docker are packaged in a standard form called a container.1 It contains the technology that you need to build a container. The idea is to build an environment that you can package up in the Box. Let’s keep it that simple. You package up into Box and you ship it some where. You don’t care how to ship, as a developer your job is to create this box that is the container environment, and everything that’s needed for you to run it  successfully. It provides some facilities, which are useful for developers. It is an open platform can be used for building, distributing, and running applications in a portable, light weight, flexible and stackable, Docker Engine. Docker provides Docker Hub, which is a cloud service for sharing applications.","PeriodicalId":415241,"journal":{"name":"International Journal of Advanced Research in Computer Science and Software Engineering","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127786274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Machine Learning in Agriculture 机器学习在农业中的应用
International Journal of Advanced Research in Computer Science and Software Engineering Pub Date : 2018-06-29 DOI: 10.23956/IJARCSSE.V8I6.713
M. Sadiku, C. M. M. Kotteti, S. Musa
{"title":"Machine Learning in Agriculture","authors":"M. Sadiku, C. M. M. Kotteti, S. Musa","doi":"10.23956/IJARCSSE.V8I6.713","DOIUrl":"https://doi.org/10.23956/IJARCSSE.V8I6.713","url":null,"abstract":"Machine learning is an emerging field of artificial intelligence which can be applied to the agriculture sector. It refers to the automated detection of meaningful patterns in a given data.  Modern agriculture seeks ways to conserve water, use nutrients and energy more efficiently, and adapt to climate change.  Machine learning in agriculture allows for more accurate disease diagnosis and crop disease prediction. This paper briefly introduces what machine learning can do in the agriculture sector.","PeriodicalId":415241,"journal":{"name":"International Journal of Advanced Research in Computer Science and Software Engineering","volume":"174 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115973139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 33
Data Analysis of the Moxtra Application Moxtra应用的数据分析
International Journal of Advanced Research in Computer Science and Software Engineering Pub Date : 2018-06-29 DOI: 10.23956/IJARCSSE.V8I6.715
Navninderjit Singh, Crystaal Tng, Karlla Martinz
{"title":"Data Analysis of the Moxtra Application","authors":"Navninderjit Singh, Crystaal Tng, Karlla Martinz","doi":"10.23956/IJARCSSE.V8I6.715","DOIUrl":"https://doi.org/10.23956/IJARCSSE.V8I6.715","url":null,"abstract":"This paper will explain the importance of a digital forensic analysis and the different sections that it contains. This is to highlight the importance of the information that can be discovered through performing a digital forensic analysis. There is also a description of the Moxtra application to explain what the application is used for and its different capabilities. Following that, the paper will dive into the problem statement that it will research. Then, it will describe the methodology used to solve the problem statement. It will provide details of the test cases and results that were retrieved after performing the cases. Finally, it analysis the results and provides a conclusion.","PeriodicalId":415241,"journal":{"name":"International Journal of Advanced Research in Computer Science and Software Engineering","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126816178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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