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Design and Implementation of Mobile Application for Results Dissemination System

Journal of Software Engineering and Applications 2017年第9期10卷 787-791页

作者： Mukarukundo Josette Faculty of Education Department of Didactic Option of Computer Science and Mathematic Catholic University of Rwanda Butare Rwanda

Mobile application is a kind of an application system delivered via on mobile phone, it is basically network-enabled convey of skills and knowledge. Due to advanced technology of smart phones, this application has become an important system that facilitates a large amount of people to access the information efficiently. The aim of this research is to design and implement a mobile application which is able to disseminate student’s results of their exams. We have developed this application with Java Programming Language, Phased model as Software Development methodology and Android technology [1]. This research has used following methods in terms of collecting data;This research has used following methods in terms of collecting data: documentation, interview and observation techniques. The researcher has concluded that the system has been successfully implemented using Phased Model Methodology.

关键词： Mobile Application for Results Dissemination System Android Java Smart Phone Phased Model

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Decision support system for determining Bantuan Siswa Miskin (BSM) receivers with profile matching method

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IOP Conference Series: Materials science and Engineering 2018年第1期332卷

作者： B H Situmorang E Pibriana E T Tosida Department of Computer Science Faculty of Mathematic and Natural Sciences Pakuan University Indonesia.

Bantuan Siswa Miskin (BSM) is a National Programs aimed at eliminating the barriers of poor students participating to school by helping poor students gain access to appropriate education services, prevent dropping out of school, attract poor students back to school, assis students in providing for learning activities, support the Nine Years Basic Education (and even up to senior high school) program, as well as helping to smooth the school programs [1]. Decision Support System is made by applying Profile Matching method to assist teachers or school operators in SMP PGRI Ciasmara in selecting prospective recipients of BSM program and providing recommendations in decision making. Profile Matching is used to compare the actual data value of a profile to be assessed by the expected profile value, so that it can be known the difference of competence (also called GAP). If the resulting value of GAP is smaller then the weight of value will be greater, which means it has a greater chance to be recommended as a potential recipient of the BSM program. Decision Support System for determining BSM receivers is only choosing the right alternatives to receive BSM according to the BSM quota given to SMP PGRI Ciasmara. The right alternatives to receive this BSM is the highest ranking alternatives.

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Optimum Index Factor and Cloud Removal on the Landsat Imagery Data Processing

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Journal of Physics: Conference Series 2018年第2期1116卷

作者： M S Ziliwu Tulus Sutarman M Zarlis Z Situmorang A S Harahap Postgraduate School Department of Technical Information Faculty of Computer Science and Information Technology Universitas Sumatera Utara Medan Indonesia Department of Mathematics Faculty of Mathematic and Natural Sciences Universitas Sumatera Utara Medan Indonesia Faculty of Computer Science Universitas Katolik Santo Thomas Medan Indonesia

The research by using landsat imagery data which is a remote observation and recording technology equipped with Enhanced Thematic Mapper Plus (ETM +) sensor has been conducted. Landsat-7 has a sensor that produces images with 7 bands of 1, 2, 3, 4, 5, and 7 with spatial resolution of 30x30 m and band 6 with a spatial resolution of 120×120 m. The image processing begins with obtaining the best combination of Optimum Index Factor (OIF) is one of the methods used to get the proper *** data imagery also contains cloud cover which can interfere and hamper in the process of obtaining more accurate landsat image data. Cloud removal by using K-Means Clustering process can separate and clusterize each object in the image based on the closest color and distance so that clouds and other land cover can be clustered and freed from the cloud visually.

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Convergence and best proximity points for Berinde's cyclic contraction with proximally complete property

Convergence and best proximity points for Berinde's cyclic c...

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作者： Sanhan, Sujitra Mongkolkeha, Chirasak Department of Mathematic Statistics and Computer Science Faculty of Liberal Arts and Science Kasetsart University Kamphaeng-Saen Campus Nakhonpathom73140 Thailand

In this paper, we introduce the concept of Berinde's cyclic contraction that is a generalized cyclic contraction mapping by using the idea of weak contraction mapping which is defined by Berinde and prove best proximity point theorems for such a mapping in metric space with proximally complete property, Our results improve and extend the recent results of Eldred and Veeramani and some authors. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

关键词： Mapping

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The Transmuted Topp-Leone G Family of Distributions: Theory, Characterizations and Applications

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Journal of Data science 2017年第4期15卷 723-740页

作者： Haitham M. Yousof Morad Alizadeh S. M. A. Jahanshahi Thiago G. Ramires Indranil Ghosh G.G. Hamedani Department of Statistics Mathematics and Insurance Benha University Egypt Department of Statistics Persian Gulf University Bushehr Iran Faculty of Mathematics University of Sistan and Baluchestan Zahedan Iran Department of mathematic Federal University of Technology - Parana Brazil Department of Mathematics and Statistics University of North Carolina Wilmington USA Department of Mathematics Statistics and Computer Science Marquette University USA

In this paper, we introduce a new family of continuous distributions called the transmuted Topp-Leone G family which extends the transmuted class pioneered by Shaw and Buckley (2007). Some of its mathematical properties including probability weighted moments, mo- ments, generating functions, order statistics, incomplete moments, mean deviations, stress- strength model, moment of residual and reversed residual life are studied. Some useful char- acterizations results based on two truncated moments as well as based on hazard function are presented. The maximum likelihood method is used to estimate its parameters. The Monte Carlo simulation is used for assessing the performance of the maximum likelihood estimators. The usefulness of the new model is illustrated by means of two real data set.

关键词： ORDER statistics MAXIMUM likelihood statistics

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Optimization Of Feature Weight TheVoting Feature Intervals 5 Algorithm Using Partical Swarm Optimization Algorithm

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Journal of Physics: Conference Series 2017年第1期930卷

作者： Eka Hayana Hasibuan Herman Mawengkang Syahril Efendi Faculty of Computer Science and Informatics Technology University Of Sumatera Utara Indonesia Faculty of Mathematic Science University of Sumatera Utara Indonesia

The use of Partical Swarm Optimization Algorithm in this research is to optimize the feature weights on the Voting Feature Interval 5 algorithm so that we can find the model of using PSO algorithm with VFI 5. Optimization of feature weight on Diabetes or Dyspesia data is considered important because it is very closely related to the livelihood of many people, so if there is any inaccuracy in determining the most dominant feature weight in the data will cause death. Increased accuracy by using PSO Algorithm ie fold 1 from 92.31% to 96.15% increase accuracy of 3.8%, accuracy of fold 2 on Algorithm VFI5 of 92.52% as well as generated on PSO Algorithm means accuracy fixed, then in fold 3 increase accuracy of 85.19% Increased to 96.29% Accuracy increased by 11%. The total accuracy of all three trials increased by 14%. In general the Partical Swarm Optimization algorithm has succeeded in increasing the accuracy to several fold, therefore it can be concluded the PSO algorithm is well used in optimizing the VFI5 Classification Algorithm.

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Upper and lower bounds for riemann type quantum integrals of preinvex and preinvex dominated functions

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UPB Scientific Bulletin, Series A: Applied mathematics and Physics 2017年第3期79卷 33-44页

作者： Awan, M.U. Cristescu, G. Noor, M.A. Riahi, L. Department of Mathematics Government College University Faisalabad Pakistan Aurel Vlaicu University of Arad Department of Mathematics and Computer Sciences Bd. Revolutiei No. 77 Arad310130 Romania Department of Mathematics King Saud University Riyadh Saudi Arabia Department of Mathematics COMSATS Institute of Information Technology Islamabad Pakistan Faculty of Science Mathematic Physic and Naturelle of Tunis Tunisia

In this paper, we obtain some new upper and lower bounds for Riemann-type quantum quadratures of preinvex functions of Mititelu type. Some generalized classes of preinvexities and corresponding boundary properties that involve Riemann-type q-integral are approached. The class of preinvex dominated functions is introduced and some quantum Hermite-Hadamard type integral estimations are derived in this framework.

关键词： Bounds Convex Inequalities Preinvex Quantum Riemann

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Improving the data delivery using DTN routing hierarchical topology (DRHT)

Improving the data delivery using DTN routing hierarchical t...

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International Conference on Wireless Networks and Mobile Communications (WINCOM)

作者： El Arbi Abdellaoui Alaoui Said Agoujil Moha Hajar Youssef Qaraai Department of Computer Science Faculty of Sciences and Technology Errachidia MOROCCO Department of Mathematic Faculty of Sciences and Technology Errachidia MOROCCO

ISBN: (纸本)9781509039388

In this work we deal with the topology adapted to routing in delays tolerant networks (DTN). This topology plays a very important role in the design and implementation of routing protocols in this network deprived of any infrastructure and centralized administration with intermittent connectivity. In fact, we propose a DTN routing hierarchical topology (DRHT) that incorporates three basic concepts: Message Ferries, ferrie routes and clusters. This approach forms a structure capable to adapt dynamically to changes in the mobile environment. We provide also an asynchronous algorithm that will minimize the number of messages replicated and the network resources in general. Finally, we will present the simulation results demonstrating the effectiveness of the topology and routing protocol, particularly for high density network nodes.

关键词： Delays Routing Network topology Topology Routing protocols

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Sequential Pattern Mining on hotspot data in Riau province using the PrefixSpan algorithm 3

Sequential Pattern Mining on hotspot data in Riau province u...

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3rd International Conference on Adaptive and Intelligent Agroindustry, ICAIA 2015

作者： Nurulhaq, Nida Zakiya Sitanggang, Imas Sukaesih Computer Science Department Faculty of Mathematic and Science Bogor Agricultural University Indonesia

ISBN: (纸本)9781467374057

One effort to prevent forest fires is to determine the appearance of hotspots as indicators of forest fires in a region. Sequential patterns of hotspot occurrences can be extracted from a hotspot dataset. Based on sequential patterns, we can know some regions where forest fires may potentially occur. In addition, we can know the time interval of hotspot occurrences in the region. Such information can be used to make decisions to prevent the forest fires. This work applies the sequential pattern mining algorithm namely PrefixSpan to find frequent sequences in the hotspot dataset in Riau from 2000 to 2014. We utilized the Sequential Pattern Mining Framework (SPMF) tool to generate sequences on hotspots data. Using the dataset of the year 2005 and the minimum support of 1% to 11%, we obtain 67 one-frequent sequences, 46 two-frequent sequences, and 1 three-frequent sequence. The sequential pattern with 2 items and minimum support of 2% shows that there were 178 hotspots sequentially occurred on Feb 10, 2005 then on Feb 12, 2005. The time interval of hotspot occurrences is of 3 days. © 2015 IEEE.

关键词： Deforestation

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Ellipse detection on embryo image using modification of arc Particle Swarm Optimization (ArcPSO) based arc segment

Ellipse detection on embryo image using modification of arc ...

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International Symposium on Micro-NanoMechatronics and Human science, MHS 2015

作者： Syulistyo, Arie Rachmad Wisesa, Hanif Arief Aprinaldi Bowolaksono, Anom Wiweko, Budi Jatmiko, Wisnu Faculty of Computer Science Universitas Indonesia Depok16424 Indonesia Faculty of Mathematic and Natural Science Universitas Indonesia 16424 Indonesia Faculty of Medicine Universitas Indonesia 16424 Indonesia

ISBN: (纸本)9781479966783

In Vitro Fertilization (IVF) technology is used to help couple that have problem in their reproduction organs. However, the success rate of IVF is just 30%, so it is a challenging task to increase that success rate. In this paper, we proposed an ellipse detection method on single and multiple embryo image by modifying the ArcPSO method on ellipse fitting process and the process on extract the arc segment for ellipse detection. The experiment results on single embryo data showed that the proposed method has a 24% better on F-Measure, 21% better on precision, and 28% better on recall as compared to the original ArcPSO method. While the experiment results on multi embryo data showed that the proposed method has a 7% better on F-Measure, 11% better on Precision, and 2% better on Recall as compared to the original ArcPSO method. © 2015 IEEE.

关键词： Particle swarm optimization (PSO)

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