bluuebunny/crossref_metadata_2025_split huggingface dataset:
IMPLEMENTASI METODE FUZZY DALAM PERANCANGAN SISTEM PENDUKUNG KEPUTUSAN PENDISTRIBUSIAN BERAS BERSUBSIDI
Authors: Sahfitri Vivi , Nasir Muhammad , Kurniawan Kurniawan 
Published: May 2018

Salah satu program pemerintah dalam usaha menurunkan angka kemiskinan terutama dalam hal kecukupan pangan adalah dengan memberikan bantuan beras bersubsidi. Selama ini proses yang terjadi dalam pendistribusian beras bersubsidi menemui banyak permasalahan. Permasalahan yang paling sering adalah distribusi beras bersubsidi yang tidak tepat sasaran. Distribusi beras bersubsidi ya ng telah dilakukan oleh Pemerintah saat ini belum tepat sasaran sesuai dengan tujuan yang ingin dicapai dalam Program Pemerintah ini. Hal ini terjadi karena kurangnya pengawasan dalam pendistribusiannya. Progam Pemerintah yang bertujuan untuk memperkuat ketahanan pangan Rumah Tangga Miskin dapat dicapai jika pendistribusian beras bersubsidi tepat sasaran yaitu diberikan pada Rumah Tangga Miskin. Proses yang berjalan dalam pendistribusian beras bersubsidi saat ini belum memanfaatkan perkembangan teknologi informasi, hanya dilakukan melalui catatan survey yang diberikan dari perangkat daerah terendah ke perangkat daerah tingkat yang lebih tinggi. Penelitian ini bertujuan untuk merancang suatu sistem yang dapat membantu mendistribusikan beras bersubsidi sehingga tepat sasaran serta mensimulasikan perhitungan dalam menentukan penerima beras bersubsidi dengan menggunakan metode Fuzzy Simple Additive Weighting (SAW) yaitu salah satu Metode Penunjang Keputusan dengan melakukan Penjumlahan Terbobot. Metode SAW membutuhkan proses normalisasi matrik keputusan ke suatu skala yang dapat diperbandingkan dengan semua rating alternatif yang ada. Hasil dari perancangan sistem penunjang keputusan dan simulasi perhitungan dalam pendistribusian beras bersubsidi ini menjadi dasar bagi pihak terkait untuk menentukan penerima beras bersubsidi.
ONLINE HOTEL RESERVATION AND MANAGEMENT SYSTEM FOR THE COLLEGE OF INTERNATIONAL TOURISM AND HOSPITALITY MANAGEMENT (CITHM)
Authors: Delizo Glenda A. , Esguerra Mischelle A. 
Published: May 2018

This study aims to develop and design an on-line hotel reservation and management system for the College of International Tourism and Hospitality Management of the Lyceum of the Philippines University, Batangas Campus. It presents user-friendly features that will familiarize CITHM students on the online hotel reservation system, evaluate it and highlight the benefits it can provide to the college and staff. In addition, it will purvey supplement material in their front desk operation course. The researchers used the System Development Life Cycle and Microsoft Web Developer 2008 as the programming language.Â The developed software served as a tool for the students of CITHM to familiarize them on how to operate an online hotel reservation system. The developed software was an effective aid for the instructors in teaching the basic operations of hotel reservation system to their students. It also provided online security to protect privacy and financial information of clients.Â
Homology modeling and Molecular docking studies of AS1 (Anthranilate synthase component I (TrpE)) model of Mycobacterium tuberculos
Authors: Kumar K Naresh , Kumar C Suresh , Rao D Subba 
Published: May 2018

The emergence of multi-drug resistant (MDR) strains of Mycobacterium tuberculosis is the main reason why tuberculosis (TB) continues to be a major health problem worldwide. It is urgent to discover novel anti-mycobacterial agents based on new drug targets for the treatment of TB, especially MDR-TB. Tryptophan biosynthetic pathway, which is essential for the survival of M. tuberculosis and meanwhile absent in mammals, provides potential anti-TB drug targets. One of the promising drug targets in this pathway is anthranilate synthase component I (TrpE), whose role is to catalyze the conversion of chorismate to anthranilate using ammonia as amino source. Anthranilate synthase is an interesting target enzyme for antimicrobial activity due to its presence in microorganisms for the synthesis of the essential amino acid tryptophan.Â In the present study three compounds Cannabigerolic acid, cannabinolic acid and adhumulone from Cannabis sativa have been used for insilio docking studies.Â Inhibitory studies (invitro) of these compounds against Microorganism have reported earlier.Â Our approach is to find out the compounds inhibiting the AS1 of MTB by insilico docking and also find out compounds having similar pharmacophore characters from ZINC database so that those compounds can be procured of synthesized in laboratory and used for AS1 inhibitor studies.Â This study shows that AS can be used as a target enzyme to investigate the mode of action of our compounds in MTB.
Machine Learning Algorithm Evaluate the maintainability
Authors: Pal Dhaka Dr.Vijay , Agrawal Swati 
Published: May 2018

Maintainability is an important quality attribute and a difficult concept as it involves a number of measurements. Quality estimation means estimating maintainability of software. Maintainability is a set of attribute that bear on the effort needed to make specified modification. The main goal of this paper is to propose use of few machine learning algorithms with an objective to predict software maintainability and evaluate them. The propose models are Gaussian process regression networks (GPRN), probably approximately correct learning (PAC), Genetic algorithm (GA). This paper predicts the maintenance effort. The QUES (Quality evaluation system) dataset are used in this study. The QUES datasets contains 71 classes. To measure the maintainability, number of “CHANGE” is observed over a period of few years. We can define CHANGE as the number of lines of code which were added, deleted or modified during few year maintenance periods. After this study these machine learning algorithm was compared with few models such as GRNN (General regression neural network) model, RT (Regression tree), MARS (Multiple adaptive regression
splines), SVM (Support vector machine), MLR (Multiple linear regression) models. Based on experiments, it was
found that GPRN can be predicting the maintainability more accurately and precisely than prevailing models. We also include object oriented software metric to measure the software maintainability. The use of machine learning algorithms to establish the relationship between metrics and maintainability would be much better approach as these are based on quantity as well as quality.
AUTOMATIC ROAD DETECTION OF SATELLITE IMAGES USING IMPROVED EDGE DETECTION
Authors: Kaur Supreet , Baghla Seema 
Published: May 2018

Road networks play an important role in a number of geospatial applications, such as cartographic, infrastructure planning and traffic routing software. Automatic and semi-automatic road network extraction techniques have significantly increased the extraction rate of road networks. The road detection performance is a critically affected by the noise or low frequency images. Road edge detection plays an significant role to detect the direction of the road and the specific location of obstacles, size and speed of obstacles in the road. In this paper, several road detection techniques are theoretically analyzed, and a new road detection technique is proposed using median filter. By comparing it with some well known techniques it is found that there exist many gaps in the techniques proposed so far. Â By comparing the proposed algorithm with proposed it is proved that the proposed algorithm does not provide artifacts was quite more in old tewchniques.
DESIGN AND DEVELOPMENT OF AN ONLINE EXAM MAKER AND CHECKER
Authors: M. Ramos Maria Cristina , Velasquez Janice E. 
Published: May 2018

The study is an online, computer aided tool that was designed primarily for the conduct of online examination. The system was created using PHP, a web based scripting language, and MySQL as the database software. The system focuses on the automation of students' examinations; preparation, scheduling, checking and grading. A database is provided for the storage of exam questions, answers to questions and students' records. The system allows instructors to create an exam by entering questions with its corresponding answers into the database. Instructors are provided with three options on the type of exam; these include, True or False, Multiple Choice and Fill in the Blanks.There are three account types based on the intended users. One is the Administrator Account; this can be used to create instructor accounts. It can also be used to delete or suspend other accounts based on activity status.Â The Instructor Account allows teachers to create student accounts and enroll the same. This account can be used also to create, activate, edit, delete exams and monitor students' performances. The Student Account is for the officially enrolled students where they can take exams and view scores even from previous examinations.This software allows instructors to keep track of students' performances from all exams since the results will be stored in a database linked to an online system.Â While taking the online exam, students can choose the number of exam questions that will be displayed on the screen at a given time.A student can take the exam only on the specified date and time set by the instructor. Ideally, a particular exam should be taken only once. In cases of retakes due to valid reasons and special exam considerations, the instructor is given the option to administer the previously activated exam, edit or create a new set of questions.One limitation though, this online system is not to be used to compute for the class performance for the final grade since this requires other components such as seat works, graded recitations, laboratory activities, etc. This only computes and shows the scores from previous exams and the average.
Offline Signature Verification System with Gaussian Mixture Models (GMM)
Authors: Jain Charu , Singh Priti , Rana Preeti 
Published: May 2018

Gaussian Mixture Models (GMMs) has been proposed for off-line signature verification. The individual Gaussian components are shown to represent some global features such as skewness, kurtosis, etc. that characterize various aspects of a signature, and are effective for modeling its specificity. The learning phase involves the use of Gaussian Mixture Model (GMM) technique to build a reference model for each signature sample of a particular user. The verification phase uses three layers of statistical techniques. The first layer involves computation of GMM-based log-likelihood probability match score, Â second layer performs the mapping of this score into soft boundary ranges of acceptance or rejection through the use of z-score analysis and normalization function, thirdly, threshold is used to arrive at the final decision of accepting or rejecting a given signature sample. The focus of this work is on faster detection of authenticated signature as no vector analysis is done in GMM. From the experimental results, the new features proved to be more robust than other related features used in the earlier systems. The FAR (False Acceptance Rate) and FRR (False Rejection Rate) for the genuine samples is 0.15 and 0.19 respectively.
Performance Analysis of IEEE 802.15.4 Based Wireless Sensor Networks using LAR protocol for CBR and ZIGBEE Traffic Applications
Authors: P. Samundiswary , R Surender 
Published: May 2018

IEEE 802.15.4 standard based wireless sensor networks (WSNs) emerges as the next generation wireless standard for low-rate wireless personal area networks. IEEE 802.15.4 standard offers low power, low data rate and short range networking for wireless battery powered devices. It has also started to demand much attention towards research. The performance of the network can be analysed by using different types of routing protocols. In this paper, the performance analysis of IEEE 802.15.4 based Wireless Sensor Networks is done by using Â Location Aided Routing (LAR) protocols for the traffic applications such as Constant Bit Rate (CBR) and Zigbee traffic application. The LAR protocol enables the routing of data between the source and destination by using directional flooding technique. The performance metrics such as throughput, delay, jitter and packets dropped of LAR for Â CBR and Zigbee traffic application is evaluated and analysed. The simulation is modelled by using QualNet.
Cascading Guided Search Cloud Service Search Engine
Authors: Arvaree Ms Thamilvaani , Atan Dr. Rodziah 
Published: May 2018

Cloud computing is one contemporary technology in which the research community has recently embarked. This paradigm shifts the location of the infrastructure to the network to reduce the costs associated with the management of hardware and software resources. Developers with innovative ideas for new Internet services no longer require the large capital outlays in hardware to deploy their service or the human expense to operate it. Organization adopts cloud computing services through service provider via Internet. In recent years, numbers of cloud service providers are increase.Â However, there is no study that focuses on search engine and web portal for cloud computing for users who want to find cloud service. At the same time, â€œvendor lock inâ€ issues and the lack of common cloud standards delayed the interoperability across these providers. Thus, lead the cloud customer to face challenges and problems in selecting the right service provider who meets their needs. This research focus on meeting the user requeriment in cloud environment whereby, user requirements reflect to search query that entered by the end users and how these search queries are exactly matched with accurate cloud service. Therefore, end of the research cloud service search engine was developed as a proposed tool for meeting the user requirements.Â
Multipath Routing protocol: NCPR and QAMR
Authors: Garg Roopali , Kaur Guneet 
Published: May 2018

Mobile ad hoc network is an assembly of mobile nodes with no centralized server. Due to mobility of nodes and decentralized network it is difficult to maintain the quality of service (QoS) in routing the packets from source to destination.Â QoS can be defined in terms of various metrics like delay, bandwidth, packet loss, routing overhead, jitter. Routing can be unicast, multicast or multipath.Â This paper presents the description about the QoS multipath routing algorithm.
A Fully Automated Method for Noisy cDNA Microarray Image Quantification
Authors: Fouad Islam A. , Mabrouk Mai S. , Sharawy Amr A. 
Published: May 2018

DNA microarray is an innovative tool for gene studies in biomedical research, and its applications can vary from cancer diagnosis to human identification. Image processing is an important aspect of microarray experiments, the primary purpose of the image analysis step is to extract numerical foreground and background intensities for the red and green channels for each spot on the microarray. The background intensities are used to correct the foreground intensities for local variation on the array surface, resulting in corrected red and green intensities for each spot that can be considered as a primary data for subsequent analysis. Most techniques divide the overall microarray image processing into three steps: gridding, segmentation, and quantification. In this paper, aÂ Â simple automated gridding technique is developed with a great effect on noisy microarray images. A segmentation technique based on â€˜edge-detectionâ€™ is applied to identify the spots and separate the foreground from the background is known as microarray image segmentation. Finally, a quantification technique is used to calculate the gene expression level from the intensity values of the red and green components of the image. Results revealed that the developed methods can deal with various kinds of noisy microarray images, with high Â griddingaccuracy of 92.2% for low quality images and 100% for high quality images resulting in better spot quantification to getÂ more accurate gene expression values.Â
A Survey on SmartPhone Honeypot
Authors: Ahmed Dr.Hanaa Mohsin , Hassan Dr. Nidaa Flaih , A. Fahad Assmaa 
Published: May 2018

Smartphones are becomingÂ Â a dominant form of mobile computing in the world. The Smartphone, as a platform, blends a traditional general computing platform with a specialized mobile phone platform. The general computing tradition is historically open, allowing its owners to install whatever software they choose and to add or remove hardware as they please. Also they are a vault for large amount of personal information about banking, social network, and inter-personal communication. These capabilities and information value make it an attractive target to internet miscreants.This paper presents a survey on recent researches in Smartphone honeypot. Physical and virtual honeypots have been studied in details; however, there is only little work in the field of mobile related honeypot. The survey presents the challenges while setting up a smartphone honeypot, and summarizes the researches published in this area. We clarify the methods used to build their honeypot, and the results they obtained and their recommendations.
Study of Image steganography using LSB, DFT and DWT
Authors: Mazumder Juned Ahmed , Hemachandran K. 
Published: May 2018

In this paper we have studied and implement the color image steganography using LSB, DFT and DWT. First we have studied the various literatures of LSB, DFT and DWT and then implemented one system in which we can do steganography using these techniques, after implementation we have evaluated the results using these techniques applying various image formats against different message size. For each of the cases we have calculated Â the MSE and PSNR and presented here in a tabulated form. Our main intention is to show how MSE and PSNR changes with respect to different image formats and different message sizes using these techniques. Besides the analysis of MSE and PSNR we have also analyzed the message insertion and message extraction time for all the cases.
Two Modified Hager and Zhang's Conjugate Gradient Algorithms For Solving Large-Scale Optimization Problems
Authors: Yuan Gonglin , Li Yong 
Published: May 2018

At present, the conjugate gradient (CG) method of Hager and Zhang (Hager and Zhang, SIAM Journal on Optimization, 16(2005)) is regarded as one of the most effective CG methods for optimization problems. In order to further study the CG method, we develop the Hager and Zhang's CG method and present two modified CG formulas, where the given formulas possess the value information of not only the gradient but also the function. Moreover, the sufficient descent condition will be holden without any line search. The global convergence is established for nonconvex function under suitable conditions. Numerical results show that the proposed methods are competitive to the normal conjugate gradient method.
Mobility Impact on MANET Routing Protocols In Grid Networks
Authors: Al-Quzwini Mahmoud Mir Ali , R. Khaleel Zeinab 
Published: May 2018

Mobile Ad-Hoc Networks (MANETS) is a collection of wireless mobile nodes that are able to dynamically form a temporary network without any aid from fixed infrastructure or centralized administration due to no wired backbone.Ad Hoc networks are formed spontaneously and the nodes are highly mobile.Thispaper presents performance evaluations, comparisons, andanalysis for three routing protocols (AODV, DSR, and OLSR)to bring out their relative meritsundervarying network size and mobilitywith Â various speed and pause times. The simulation is carried out using OMNET++ simulator based on the quantitative basic parameters like throughput, Packet transmission Ratio (PTR),packet transmission time delay and protocol overhead .The Â nodes are distributed randomly in a grid network topology and mobile nodes moving using Random Waypoint mobility models. The results demonstrate that, undervarious node speeds and pause timesfor different network size, AODVoutperforms DSR and OLSR protocols, with respect to networkthroughput (by 0.9% and 4.4%, respectively). For protocoloverhead,DSR has lower overhead than both AODV and OLSR protocols (by 13.4% and 65.5%, respectively). In contrast, thepacket transmission time delay when using OLSR is shorter than whenusing both AODV (by 81.7%) and DSR (by 76.7%).Â
Implementatioin of Enhanced Transitional Communication Interface Between Mediums Using Adaptive Techniques
Authors: Chavakula N L Sujatha , Pravin A. , Durga S. Kanaka , Mallikarjuna G. 
Published: May 2018

Â Implementation of an innovative and interactive device which is having the capability of changing its own properties with dynamic nature is presented in this project. This project acts as mediator between mediums. Data through water is a challenging task in now a day. Due to random change of properties like water flow, density; framed data energy may changes. So, modulation schemes have to be changed dynamically depends up on flow and density of water. At the receiver side GSM technology is used to re-send the data. Here GSM is used as interface device between water and air.
Towards Standardized Conformance Test Suite for ISO Transport Layer Protocol
Authors: El-Gendy Hazem Mostafa , Talkhan Ihab ElSayed 
Published: May 2018

In this paper, we develop a sound Conformance Test Suite for the Transport Layer Protocol Internationally standardized by both ISO and IEC.Â This is to test the implementations of the protocol, promote and facilitate standardized test suites, and promote the use of formal methods.Â We use formal methods for the generation of testing sequences to make the results sound.Â The protocol is formally specified in Lotos; the ISO/IEC Formal Description Technique for computer/communications protocols and distributed systems.
Toward Mobile Telecommunication Recommendation System through Intelligent Customers Categorization
Authors: Ghnemat Rawan , Jaser Edward 
Published: May 2018

Now a day, usage of mobile devices is becoming indispensable. This is evident with current mobile penetration rates reaching 100% and even more in some countries. Customers across the world are enjoying competitive prices due to high competition among telecommunication companies. As a result of this, it is mandatory for mobile companies to provide high quality services to their customers to retain them. One aspect which will maximize customersâ€™ trust and lead to high retention rate is to offer them a suitable plan that matches their usage.Â Mobile customer usage categorization is therefore an essential task to develop intelligent business plans. Personalized recommendation system is needed to dynamically adapt the different customer behaviours with the most appropriate plan for them. In this paper we propose a new automatic approach for costumersâ€™ categorization. This will be the basis for the recommendation system. The proposed method is built using Fuzzy rule and aims at usage behaviour prediction. The rules was extracted from real customer data obtained from a leading provider. Comparison study with other categorization methods has been conducted and showed superior result and demonstrated the potential advantage of the proposed fuzzy based method.
Comparative Analysis Domino Logic Based Techniques For VLSI Circuit
Authors: Kamde Shilpa , Shinde Jitesh , Badjate Sanjay , Hajare Pratik 
Published: May 2018

Domino logic is a CMOS-based evolution of the dynamic logicÂ techniques Â basedÂ onÂ eitherÂ PMOSÂ orÂ NMOS transistors. Domino logic technique is widely used in modern digital VLSI circuit. Dynamic logic is twice as fast as static CMOS logic because it uses only N fast transistors. The Dynamic (Domino) logic circuit are often favored in high performance designs because of the high speed and low area advantage.Four different dynamic circuit techniques including Basic domino logic circuit are compared in this paper for low power consumption and speed of domino logic circuits. For digital circuit simulation used BSIM(Berkeley Short Channel IGFET ) Model because it control leakage current.