bluuebunny/crossref_metadata_2025 huggingface dataset:
PERANCANGAN SISTEM MONITORING PERANGKAT ELEKTRONIK RUMAH MENGGUNAKAN INTERNET
Authors: Prihatmoko Dias
Published: May 2018

Penghematan energi pada rumah bila dilaksanakan secara sistematis akan berpotensi mengurangi konsumsi energi yang besar, tetapi pada prakteknya program hemat energi tersebut belum maksimal. Perangkat elektronik rumah sering menyala sampai pagi, kondisi ini akan menyebabkan pemborosan energi listrik apabila terjadi berulang-ulang. Oleh karena itu, perlu adanya sistem kontrol dan monitor perangkat elektronik rumah yang praktis dan efisien. Penelitian ini mengajukan perancangan sistem otomatisasi rumah menggunakan internet yang dapat secara otomatis mengontrol dan memonitor keadaan rumah dari jarak jauh. Perancangan ini berupa perancangan perangkat keras dan perangkat lunak menggunakan bahasa pemrograman berbasis android, Bahasa Pemrograman C, dan database. Hasil dari penelitian  ini  adalah  sistem  otomatisasi  rumah  yang  dapat  digunakan  untuk  kontrol  dan  monitor perangkat elektronik rumah dengan rata-rata waktu respon 1,26 detik.
ANALISIS PELUMASAN ELASTOHYDRODYNAMIC PADA SAMBUNGAN TULANG PANGGUL BUATAN UNTUK POSISI SUJUD DALAM SALAT DENGAN MENGGUNAKAN TEKNIK CFD DAN FSI
Authors: Tauviqirrahman Mohammad , Budiman Rifki Ardiansyah
Published: May 2018

Pelumasan pada sambungan tulang panggul buatan (artificial hip joint) diperlukan untuk menjaga reliabilitas dan  umur  pakai  komponen  prostesis  ini  ketika  digunakan  oleh  pengguna.  Berdasarkan tinjauan  pustaka, kebanyakan studi tentang sambungan tulang panggul buatan mengasumsikan kondisi tanpa pelumas (synovial fluid), sehingga bisa mengakibatkan kesimpulan penelitian yang keliru. Penelitian ini bertujuan untuk menganalisis pengaruh keberadaan pelumas pada sambungan tulang panggul buatan terhadap karakteristik pelumasan, serta struktur dari komponen penyusun sambungan. Untuk memperoleh hasil yang akurat, teknik CFD (Computational Fluid Dynamic) dan FSI (Fluid Structure Interaction) digunakan untuk menganalisis mekanisme pelumasan elastohydrodynamic pada sambungan. Fokus penelitian ini adalah analisis karakteristik sambungan tulang panggul buatan yang bergerak saat pengguna melakukan gerakan sujud dalam salat. Seperti diketahui, pengguna sambungan tulang panggul buatan disarankan oleh para dokter untuk membatasi gerakan ekstrim yang dapat merusak sambungan buatan ini. Gerakan tersebut misalnya jongkok, berlari, dan beberapa gerakan salat. Hasil simulasi menunjukkan bahwa untuk meningkatkan keakuratan hasil analisis sambungan tulang panggul buatan dalam tubuh, maka pelumas synovial fluid sangat penting untuk dipertimbangkan dan dimodelkan. Selain itu, keberadaan pelumas ini saat gerakan sujud terbukti membantu mencegah kontak antar permukaan sehingga kemungkinan terjadinya tubrukan (impingement) antar komponen dapat dicegah.
MULTILEVEL INDEXING PADA PROSES TEMU KEMBALI DOKUMEN DIGITAL
Authors: Jayanta Jayanta , Pramiyati Titin
Published: May 2018

Dokumen digital adalah sebuah konsep pengumpulan, penyimpanan dan pengelolaan informasi dalam bentuk cetakan atau gambar elektronik yang dapat dipakai sebagai bukti atau keterangan. Penggunaan dokumen digital yang dianggap lebih efisien dalam pengiriman dokumen terkait dengan kemudahan akses, dan temu kembali dokumen menjadikan dokumen digital menjadi alternatif yang digunakan pada proses administrasi kegiatan tri darma perguruan tinggi tenaga pendidik. Pengambilan kembali  dokumen  menjadi  kemudahan tersendiri  ketika  dokumen-dokumen disimpan  dalam  bentuk elektronik yang dapat digunakan kepada pengguna dokumen baik individual maupun organisasi. Penyediaan kemudahan mendapatkan kembali dokumen kegiatan tri darma perguruan tinggi yang dilakukan oleh tenaga pendidik merupakan masalah yang dibahas dalam penelitian yang dilakukan. Permasalahan dalam pencarian dokumen ini dapat diselesaikan dengan membuat mekanisme pencarian dokumen secara otomatis dengan memanfaatkan multilevel indexing pada penyimpanan dokumen yang diorganisasikan berdasarkan kategori menjadi topik dalam pembahasan makalah ini. Metode yang dilakukan pada penelitian ini terdiri dari tahap analisis penyimpanan dokumen digital tenaga pendidik, analisis penggunaan multilevel indexing untuk penanganan temu kembali dokumen tenaga pendidik, tahap penyiapan aplikasi temu kembali, dan tahap ujicoba. Hasil yang diperoleh adalah implementasi pencarian dokumen digital tenaga pendidik menggunakan multilevel indexing, dalam bentuk aplikasi temu kembali yang fleksibel. Kata kunci: dokumen digital, temu kembali dokumen, multilevel indexing.
IDENTIFIKASI FIBRILASI ATRIUM PADA ISYARAT ELEKTROKARDIOGRAM (EKG) MENGGUNAKAN SUPPORT VECTOR MACHINE (SVM)
Authors: Rofii Mohammad
Published: May 2018

Jantung merupakan salah satu organ penting yang terdapat pada tubuh manusia. Fungsi vital yang diperankan oleh organ jantung berpengaruh besar terhadap kondisi seseorang yang dapat dilihat dari isyarat fisiologi yang dihasilkan oleh aktivitas kelistrikan jantung yang dapat diukur dan direkam berupa electrocardiogram (EKG). Tujuan dari penelitian ini adalah untuk mengidentifikasi kelainan jantung atau aritmia berupa atrial fibrillation (AF) pada isyarat EKG. Data penelitian yang digunakan berasal dari Rumah Sakit  Umum Daerah Tugurejo Semarang yang  terdiri dari data  pasien dengan kasus  atrial fibrillation (AF) dan data ECG normal atau normal sinus rhythm (NSR). Data yang diambil dalam bentuk data cetak, selanjutnya di lakukan scanning   untuk mendapatkan data citra digital agar dapat diproses dengan komputer. Pada penelitian ini terdapat beberapa tahapan, diantaranya adalah pra-pengolahan, ekstraksi ciri, dan klasifikasi. Proses ekstraksi ciri berdasarkan ciri statistik (mean, standard deviation, kurtosis, variance, skewness) isyarat periodogram dari EKG, selanjutnya diklasifikasi menggunakan algoritma Support Vector Machine (SVM) dan Naive bayes Classifier (NBC) sebagai algoritma pembanding. Hasil yang didapatkan pada penelitian ini, SVM memiliki kinerja yang lebih baik dengan nilai akurasi sebesar sebesar 84,0%, sensitivitas 80,5%, dan spesifisitas 92,8%.
IMPLEMENTASI SISTEM INFORMASI GEOGRAFIS (SIG) PADA PENYEBARAN LOKASI KULIAH KERJA NYATA (KKN)
Authors: Suryadi Alfi Andryan , Mubarok Husni , Gunawan Rohmat
Published: May 2018

Kuliah Kerja Nyata (KKN) merupakan salah satu bentuk kegiatan yang memadukan unsur Tri Dharma Pendidikan Tinggi dalam upaya meningkatkan isi dan bobot pendidikan bagi mahasiswa. Kegiatan KKN juga telah dilaksanakan oleh Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) Universitas XYZ.  Tetapi,  masih  ada  permasalahan dalam  penyelenggaraan kegiatan  KKN  tersebut, diantaranya sulitnya pihak LPPM dalam memetakan lokasi KKN secara visual, sulitnya Dosen Pembimbing Lapangan (DPL) dan mahasiswa mengetahui lokasi desa tempat KKN secara visual serta belum tersedianya informasi jalur atau rute menuju lokasi KKN. Agar pemetaan lokasi KKN secara visual dapat dilakukan maka, diusulkan untuk dikembangkan Sistem Informasi Geografis (SIG) pemetaan lokasi KKN. Dalam pengembangan SIG pemetaan lokasi KKN ini digunakan metode prototype yang terdiri dari: Communication, Quick Plan, Modelling Quick Design, Contruction of Prototype dan Deployment Delivery and Feedack. Hasil dari penelitian ini, berdasarkan data KKN tahun 2017, SIG yang dikembangkan telah dapat menyediakan informasi pemetaan lokasi KKN sebanyak 91 desa, yang dapat diakses oleh 281 DPL dan 2178 mahasiwa peserta KKN, serta dapat menampilkan lokasi rute menuju desa lokasi KKN beserta koordinat lokasi setiap desa.
PENERAPAN LOGIKA FUZZY UNTUK MENENTUKAN KONDISI MESIN PADA MOTOR TRANSMISI MANUAL (STUDI KASUS HONDA CS-1)
Authors: Ariyanto Eric Teguh , Sutikno Sutikno
Published: May 2018

Honda CS-1 merupakan salah satu jenis sepeda motor dengan transmisi manual dengan spesifikasi mesin SOHC (Single  Overhead Camshaft). Untuk  melakukan perawatan mesin tersebut dibutuhkan pengetahuan yang cukup. Beberapa mekanik memiliki tingkat pengetahuan yang berbeda sehingga dimungkinkan terdapat kesalahan dalam melakukan perawatan mesin.Untuk menghindari kesalahan tersebut, maka perlu dirancang sebuah aplikasi untuk membantu mekanik melakukan analisa kondisi mesin tersebut, sehingga mekanik dapat  menganalisa letak kerusakan mesin dan  memberikan saran penanganan yang tepat.Metode yang digunakan adalah metode mamdani. Dari hasil pengujian aplikasi ini didapatkan bahwa error rate untuk menentukan kondisi kerusakan mesin adalah 10%. Hal ini berarti bahwa aplikasi sudah dapat diterapkan untuk membantu mekanik untuk menentukan kondisi kerusakan mesin motor Honda CS-1.
FOSTERING A SUSTAINABLE SOCIETY BY INTRODUCING PROJECT MANAGEMENT PRACTICES
Authors: Da Silva Luciano Ferreira , Rodrigues Luciana Magalhães Girardin Pimentel , Fernandes Nadia Pedrosa , Rodrigues Wilson Marcena , Hoyos Guevara Arnoldo Jose de
Published: May 2018

This conceptual article has as main aim described the project management as a factor to improve the sustainability of society. To do so, it is necessary to understand the project attributes and the changes in perspectives when adopting project management as a practice to promote sustainability. The discussion proposed here uses a heuristic method searching for patterns in the academic literature and in organizations to build arguments that can aid in the dissemination of project management practices. It is worthy to notice that it is not our intention here to deal with these issues in depth, but to encourage a discussion so that issues can be raised and solutions can emerge. Then, in addition to the question of sustainability in project management, we also added a discussion about the incorporation or greater stimulus to the use of project management practices in the public segment. There is a risk of being superficial in the discussion presents here, but the reason to integrated several contents is because it is not possible to describe a more sustainable society without addressing all segments.
A DECISION MAKING AID MODEL FOR PROJECT MANAGEMENT: A STRATEGIC DECISION PROCESS
Authors: Mohamed Djamil , Jintian Yu
Published: May 2018

The implementation of a decision support system and decision-making plays an important role for the outcome on the objective of a project. As important tools, the knowledge from the internal and external of a project and the experiences of project managers and experts are significant assurances to make a better decision, therefore a better concrete aggregate alternatives decision. The purpose of this paper is the development of a Decision Making Aid model with alternatives decisions and solutions (DMAM) to help the process of decisionmaking. By choosing the most appropriate model and alternatives, the proposed model aims to solve given problems pinpointed on the ―Framework for Classifying the Project Management Research‖. The model takes into account the complexity of the project and the existing alternatives decisions and solutions of previous cases. The results indicate that this model significantly reduces time and marginal error for decision-making
DESIGN THINKING AND PRODUCT ROADMAPPING IN THE FOURTH INDUSTRIAL REVOLUTION
Authors: Verde Leal Rodrigo Lima
Published: May 2018

The paper employs the combination of design thinking and product mapping approaches for building key skills and capabilities for technology management during the Fourth Industrial Revolution. It presents an overview of the literature of these two approaches, showing a gap in research that proposes their combination. It defines technology roadmapping planning as a human-centred complex problem and proposes a simple three-step sequence to assess when design thinking is applicable. The paper presents the results of using this approach in a business unit in a private non-profit research and development institute. One is the identification of six different, but interlinked, concepts of technology road-mapping that are relevant to stakeholders. The other is a ―Joint Planning‖ experiment, which suggests that road-mapping planning should rely on the co-creation of all relevant stakeholders and should take place in multiples points of the process, in order to grasp any new learning and context that may arise during the execution of the road-mapping initiative
WSNs based Oil Well Health Monitoring and Control Using ARM9 Processor
Authors: Dhatri B.Siri , Rao Y.Chalapathi , Rani Dr.Ch.Santhi
Published: May 2018

The existing oil pumping system is a high power consuming process and has incapabilitys of CPUs structural health monitoring. Due to the environmental conditions and remote locations of oil and gas sites, it is expensive to physically visit assets for maintenance and repair. As the demand for oil and gas increases, reducing operating and maintenance costs and increasing reliability, this paper develops a sensor network based monitoring and control system, and improves the level of oil field security, enhance the security checking, and strengthen the management of digitalization and information. The system mainly consists of various sensors like temperature sensor, voltage sensor, current sensor, level sensor, PH sensor and gas sensor. Here we use gas sensor to detect the flammable gas which generally evolves from the oil wells. If any such detection occurs, automatically exhaust fan will switch on to pass away the particles. As like, in case if temperature level is high, cooling fan will trigger to reduce or maintain the particular temperature in the wells. With the help of current and potential transformer we can find out the fluctuations in the pumping section. If the level of oil varies from the indicated level it gives an alert message via voice recorder. To measure the level of humidity, we use PH sensor. All the sensors data is transmitted and monitored in PC using ARM processor. Also we can communicate this sensor data to other PCs using Zigbee technology.
Information Security Awareness Behavior : A Conceptual Model for Cloud
Authors: Karamizadeh Sasan , Shayan Jafar , Alizadeh Mojtaba , Kheirkhah Atabak
Published: May 2018

Cloud computing has changed the whole picture that distributed computing used to present such asÂ  Grid computing, server client computing. Despite Cloud offers great benefits, it also introduces a myriad of security threats to the information and data which is now being ported from on-premises to off-premises. These security threats must be overcome in order to get full benefit from this new computing exemplar. This paper identifies the importance of awareness behaviour in context of information security for cloud. We investigate four important factors of security awareness behaviour that should be considered when organisations intend to improve their security toward cloud computing environment based on awareness-focused programs. Finally we conclude that a well-structured awareness program that positively affect the level of self-efficacy, security practice care behaviour, security awareness technology behaviour and intention will improve the level of total information security in cloud computing environment
Balanced Scorecard Model for Hazards Risk Management at Limpopo River Basin A Country Participatory Approach for MCDA with Scenario Planning
Authors: Mondlane Avelino Isaias , Hasson Karin , Popov Oliver
Published: May 2018

This paper focuses on the application of both Balanced Scorecard (BSC) conceptual framework and Multi-criteria Decision Analysis (MCDA) a tool for Scenario Planning as a tool for Strategic Decision Thinking, on hazard risk management within Limpopo River Basin. We discuss best practices in four main domains areas, namely Politic (as pool for country raking worldwide), Economic, Social Development and Technology and how they can contribute to build a viable scenario for the management of the basin.
Recent innovations in Distributed Systems: Challenges and Benefits
Authors: Hooda Madhurima , Kaur Amandeep , Bhadauria Madhulika
Published: May 2018

The World Wide Web is used by millions of people everyday for various purposes including email, reading news, downloading music, online shopping or simply accessing information about anything. Using a standard web browser, the user can access information stored on Web servers situated anywhere on the globe. This gives the illusion that all this information is situated locally on the userâ€™s computer. In reality, the Web represents a huge distributed system that appears as a single resource to the user available at the click of a button. This paper gives an overview of distributed systems in current IT sector. Distributed systems are everywhere. The internet enable users throughout the world to access its services wherever they may be located [1]. Each organization manages an intranet, which provides local services for local users and generally provides services to other users in the internet. Small distributed systems can be constructed from mobile computers and other small computational devices that are attached to a wireless network.
Finding a Weighted Positive In uence Dominating Set in E-learning Social Networks
Authors: Wang Guangyuan , Wang Hua , Tao Xiaohui , Zhang Ji , Zhu Guohun
Published: May 2018

Online social network has developed significantly in recent years. Most of current research has utilized the property of online social network to spread information and ideas. Motivated by the applications of dominating set in social networks (such as e-learning), a variation of the dominating set called positive influence dominating set (PIDS) has been studied in the literature. The existing research for PIDS problem do not take into consideration the attributes, directions and degrees of personal influence. However, these factors are very important for selecting a better PIDS. For example, in a real-life e-learning community, the attributes and the degrees of their influence between a tutor and a student are different; the relationship between two e-learning users is asymmetrical. Hence, comprehensive, deep investigation of userâ€™s properties become an emerging and urgent issue. The focus of this study is on the degree and direction between e-learnersâ€™ influence. A novel dominating set model called weighted positive influence dominating set (WPIDS), and two selection algorithms for the WPIDS problem have been proposed. Experiments using synthetic data sets demonstrate that the proposed model and algorithms are more reasonable and effective than those of the positive influence dominating set (PIDS) without considering the key factors of weight, direction and so on.
Labeled UML model fragments composition by the SPL strategy
Authors: Bouhaouel Rim , KraÃ¯em Naoufel , Al-Khanjari Zuhoor
Published: May 2018

The software community intends to make use of a standard approach for the software development to not build software product from scratch. This approach ensures a high quality of software with a controllable cost. It affects the whole process of the softwareÂ  development, especially in theÂ  early phases e.g. analysis and design. One of the most widespread language to modulate and document those two stages is UML (Unified Modeling Language), but the reuse of the UML model is used in ad-hoc method so why do not build a systematic method for reusing some fragments of UML? To realize it, we need to adopt a reuse approach, so we choose the software product line (SPL), based in collecting variability of the domain (in our case is UML). In fact, UML and SPL have a common issue is the model driven engineering, since both of them based on the modeling approach. This paper overviews the different areas of UML and explains the process of software Product line with its born issues to wit: MDE (Model Driven Engineering) and MDA (Model Driven Architect).
New QoS-based Decision Making Approach for Heterogeneous Networks
Authors: Khalil Ayman , Hassan Hussein Al Haj , Hélard Maryline , Hélard Jean-Francois
Published: May 2018

Next generation wireless networks will provide seamless high bandwidth connectivity with high quality of service (QoS) support to mobile users, where a mobile will be able to connect to several wireless access networks simultaneously. In this environment, heterogeneity of networks and heterogeneity of applications are presented as challenging problems, where an efficient architecture is needed to integrate different technologies. In addition, deciding the serving network is essential to avoid resource wastage and provide QoS for users. In this paper, we propose new integration architecture based on a virtual operator that rents or invests resources from a physical operator, and sells services to customers. The virtual operator will monitor the networkâ€™s conditions and QoS parameters, and then provide the user requesting access with useful information to decide the serving network. In this context, we modify four well-known decision mechanisms (load balance, minimum distance, minimum price and minimum delay) by adding the QoS as a hard constraint. We also propose a new decision mechanism, where we consider new decision criteria that improves the overall system performance. Simulation results show that the new proposed mechanism outperforms the modified mechanisms, where the blocking probability is clearly reduced and a good level of QoS is provided to real-time applications or high-priority users.
Application of Artificial Intelligence methods in Finding Program Comprehension Differences in Novice Object Oriented Programmers
Authors: Ahmadzadeh Marzieh , Mahmoudabadi Elham
Published: May 2018

Program comprehension is the first step required for software maintenance, which accounts for a considerable number of job opportunities. For this to happen, it seems obvious that improving this ability in the teaching environment is required. The literature shows, however, that not enough solutions for improving program comprehension are offered as much as for programming itself. The aim of this research therefore, is to find a pattern of how different students vary in terms of comprehending a code written in an object-oriented language. For this, we have focused on two concepts including inheritance and polymorphism, gathered data online and analyzed it qualitatively. To find the right subject for all the students to study, a data mining technique i.e., the K-means clustering algorithm, was used. Results showed that a slight difference in programming experience can have a significant impact on program comprehension ability. The methods that were used by participants who succeeded in the experiment were the same as methods used by experts as mentioned in earlier research. Inheritance and polymorphism did not play an important role in lack of success in the process of program comprehension.
Blind Identification of Transmission Channel with the method of Higher-OrderCummulants
Authors: Badi Imad , Boutalline Mohammed , Safi Said
Published: May 2018

The modern telecommunication systems require very high transmission rates, in this context, the problem of channels identification is a challenge major. The use of blind techniques is a great interest to have the best compromise between a suitable bit rate and quality of the information retrieved.

In this paper, we are interested to learn the algorithms for blind channel identification. We propose a hybrid method that performs a trade-off between two existing methods in order to improve the channel estimation.
Analysis of Routing Protocols for Large Scale Multihop Multirate MANETs
Authors: Goyal Vincy , Jangir Sunil Kumar , Hemrajani Naveen
Published: May 2018

In this paper, we perform rigorous analysis of MANET routing protocols selected from different categories over various scenarios using a large set of performance evaluation metrics. The traffic that we model on source-destination pairs is the video streams that consist of varying sized data frames and the inter-packet time is very low. In this way, we can check the MANET routing protocols over varying data sets and can provide the analysis that among the existing MANET routing protocols which routing protocol is best suited for data transmission over MANETs. To analyze the behavior of various routing protocols during the data communication in MANETs, we generate simulation results over various MANET scenarios consists of varying number of nodes and source destination pairs. The simulation process is done by using the open source simulator NS-3. We generate and analyze the scenarios where the effects of data communication is evaluated and analyzed over the increase in network mobility and network data traffic. The work is helpful for the students working on the various issues on MANETs as attacks, Quality-of-Service etc to identify which protocol they should use for their work as a base routing protocol. Â
Mapping between XML and RDF via DTD
Authors: Gulati Harvinder
Published: May 2018

XML has gained massive popularity for representation of data in last decades. Both HTML and XML are used as primary data formats since the existence of World Wide Web. As the amount of data is growing, need has emerged to represent the data in such a manner that it can be recognized by machines rather than only humans. The next generation web, Semantic web aims at representing large amount of data available in www in a machine understandable format. However, XML represent the structure of data and cannot serve the purpose of machine understandability and HTML is too inexpressive to be used by machines for interpretation of data. To bridge this gap between syntax and semantics, current data needs to be converted into Semantic web compatible formats and XML DTDs can directly be converted into RDF. This paper focuses on conversion of data available in XML DTDs into RDF using classes, subclasses and properties.
Digital Image Filtering Techniques- A survey
Authors: Mahajan Sakshi , Bawa Navneet
Published: May 2018

This paper presents a review on digital image filtering techniques. The main emphasis is on median filtering and its extended versions like hybrid median filtering, relaxed median filtering etc. It is found that still median filtering demands some sort of enhancements as it is best for salt and pepper noise only. By conducting a survey suitable gaps are found in existing literature. In the end comparison table is also drawn among the existing techniques.
Impact of ICT in Oil and Gas Exploration: A Case Study
Authors: Ike Dike U. , Anthony Adoghe , Anthony Adoghe , Abdulkareem Ademola , Abdulkareem Ademola
Published: May 2018

Information and Communication Technology (ICT) is of great importance to almost all aspects of oil and gas operations, from upstream to downstream operations. ICTs help to optimize oil and gas processes and thus improves Â the efficiency and viability of oil and gas operations. This paper presents the core areas of application of ICTs in the oil and gas industry using Nigeriaâ€™s oil and gas industry as a case study.
A New Method on Data Clustering Based on Hybrid K-Harmonic Means and Imperialist Competitive Algorithm
Authors: Abdeyazdan Marjan
Published: May 2018

Data clustering is one of the commonest data mining techniques. The K-means algorithm is one of the most wellknown clustering algorithms thatare increasingly popular due to the simplicity of implementation and speed of operation. However, its performancecouldbe affected by some issues concerningsensitivity to the initialization and getting stuck in local optima. The K-harmonic means clustering method manages the issue of sensitivity to initialization but the local optimaissue still compromises the algorithm. Particle Swarm Optimization algorithm is a stochastic global optimization technique which is a good solution to the above-mentioned problems. In the present article, the PSOKHM, a hybrid algorithm which draws upon the advantages of both of the algorithms, strives not only to overcome the issue of local optima in KHM but also the slow convergence speed of PSO. In this article, the proposed GSOKHM method, which is a combination of PSO and the evolutionary genetic algorithmwithin PSOKHM,has been positedto enhancethe PSO operation. To carry out this experiment, four real datasets have been employed whose results indicate thatGSOKHMoutperforms PSOKHM.
Application of Steganography in Symmetric Key Cryptography with Genetic Algorithm
Authors: Bandyopadhyay Samir k , Pramanik Sabyasachi
Published: May 2018

Embedding maximum information in a stego-image with minimum change in its appearance has been a major concern in image-based steganography techniques. In this paper, utilizing Genetic algorithm (GA) we have built up a competent optimal robust steganography technique. The watermarks are implanted into the HL and LH frequency coefficients in bi-orthogonal wavelet transform (BWT). In order to get better the quality of stego image and robustness of the steganography we have to develop an optimization technique using a model to explore for the optimal locations. We examine the presentation of the suggested technique in terms of Peak signal to Noise ratio (PSNR) and Normalized correlation (NC). The proposed technique is the application of steganography for confidential transmission of symmetric key generated using Genetic algorithm (GA) that can accomplish a good imperceptibility and robustness of the image
A Digital Watermarking Algorithm Based on Wavelet Packet Transform and RBF Neural Network
Authors: Saxena Poorvi , Vishwakarma Murlidhar
Published: May 2018

Digital water marking technique suffered some problem of geometrical and some other attack. The process of attack deformed the quality of digital image and violet the rule of copyright protection low. For the roughness of digital image watermarking used wavelet transform function and RBF neural network. The RBF neural network trained the pattern of digital image pixel and finally embedded the image. The processes of validation of blindness of digital image apply some geometrical attack.  Our empirical result computed in form of PSNR value and number of correlation of embedded image. Our evolution process shows better result in compression of transform based digital water marking technique.
Printed Telugu Numeral Recognition based on Structural, Skeleton and Water Reservoir Features
Authors: Satyanarayana Y V V , Babu U.Ravi , Permal S Maruthu
Published: May 2018

Selection of feature extraction method is most important factor in achieving  high  recognition  performance  in  automatic  numeral recognition  systems In this paper, a new proposed system for Telugu printed numeral characters  recognition using number of contours, skeleton feature, water reservoir features, and ratio of length of Top line to bottom line of the image. Printed Telugu numerals are scan converted to binary  images and extract the features irrespective of size of the image. The proposed method is applied  with  success  to  a  database  of  3150  printed  multi-font printed  Telugu numerals  The  recognition  accuracy is achieved 100%. The  experimental  results  obtained  are encouraging  and  comparable  with  other  methods  found  in literature survey. The novelty of the proposed method is free from size normalization and without classification method.
Effective Risk Management In Organizations:The Nigerian Experience
Authors: Okolo Ndubuisi , Ifeoma Okonkwo Rita , Amakor Ifeoma
Published: May 2018

This study is an investigation on effective risk management with respect to organizations in Nigeria. The objective of the paper is to examine factors militating against effective risk management in organizations. The paper adopted content analysis of library materials, journal publications, internet materials and other documented materials relevant to the subject matter. It was concluded that effective risk management is a proactive approach towards mitigating the impact of threats, maximizing opportunities and optimizing the achievement of objectives. It was recommended that managers of organizations in Nigeria should imbibe and articulate good corporate risk attitude, strong risk culture and clearer risk appetite.
A Bootstrap Aggregating Technique on Link-Based Cluster Ensemble Approach for Categorical Data Clustering
Authors: Reddy S Pavan Kumar , Sesadri U
Published: May 2018

Although attempts have been made to solve the problem of clustering categorical data via cluster ensembles, with the results being competitive to conventional algorithms, it is observed that these techniques unfortunately generate a final data partition based on incomplete information. The underlying ensemble-information matrix presents only cluster-data point relations, with many entries being left unknown. The paper presents an analysis that suggests this problem degrades the quality of the clustering result, and it presents a BSA (Bootstrap Aggregation) is a machine learning ensembleÂ meta-algorithmÂ designed to improve the stability and accuracy along with a new link-based approach, which improves the conventional matrix by discovering unknown entries through similarity between clusters in an ensemble. In particular, an efficient BSA and link-based algorithm is proposed for the underlying similarity assessment. Afterward, to obtain the final clustering result, a graph partitioning technique is applied to a weighted bipartite graph that is formulated from the refined matrix. Experimental results on multiple real data sets suggest that the proposed link-based method almost always outperforms both conventional clustering algorithms for categorical data and well-known cluster ensemble techniques.
Face Recognition Using Eigen Face Based Technique Utilizing the Concept of Principal Component Analysis
Authors: Bandyopadhyay Prof. Samir K , Roy Mrs. Sunita
Published: May 2018

Face recognition has been an active research area since late 1980s [1]. Eigenface approach is one of the earliest appearance-based face recognition methods, which was developed by M. Turk and A. Pentland [1] in 1991. In this approach we have to perform a lots of computations, which are not feasible with respect to time in many real time system. The concept of principal component analysis (PCA) is used in this approach to reduce the dimension and hence reducing the computation time. Principal component analysis [4] decomposes face images into a small set of characteristic feature images called eigen faces.
Evolution of Graphics-Development & Innovations
Authors: Somni Rohan , Jain Tarush
Published: May 2018

Graphics are now an integral part in many scientific, and entertainment fields. Radical discoveries and developments are still being made. Combinations of techniques and technology from different scientific fields are the primary reasons for these advancements. In this paper we highlight some of the key developments, and technological innovations that have taken place to enable graphical technology to progress to where it is today, covering both software for consoles as well as handheld devices and tablets. We attempt to be succinct, but technically so, in describing a few key aspects of applications and technologies which are now ubiquitous, or which will be in the near future. We describe both staples like DirectX and hardware tessellation as well as relatively new concepts like the Grid and Retina displays for smartphones.
Performance Evaluation for VoIP on Campus
Authors: Munadi Rendy , Santoso Iman Hedi , Mulyana Asep
Published: May 2018

The VoIP Campus implementation is to make the existing VoIP technology become more beneficial for campus stake holder. This VoIP on Campus (VoC) technology make use of a web server, facilitating users to carry out VoIP registration, get and changing account, and also to see others who have register and active in this VoIP network. Basically, this VoC infrastructure uses asterisk as VoIP server and playVoIP as web server interface, those programs included in a server computer. Furthermore, the server interconnected with several servers, such as, PBX, SMS gateway, ENUM server, softphone and smartphone. At this moment, VoC network serve locally, but next time it will be developed so that it could be served in public network, and further VoC network could be connected to VoIP Rakyat, the biggest VoIP network in Indonesia. In this research, VoC network have been tested for several QoS parameters, such as throughput, delay, jitter, packet loss, and MOS. Average value for each parameter, are : 27 kbps throughput, 20.08 ms delay, 3.54 ms jitter, 0.08% packet loss, and 3.3 MOS. Those resultsÂ  indicates that VoC network have a good performance.Â Â
Review on Software Testing Model Approach for Efficient Bug Finding With Yin-Yang Testing Theory
Authors: Kumar Mohit , Gandhi Geetika , Garg Sushil
Published: May 2018

Model Selection for Software testing is very important prospective in various product accuracy. Through research on software testing model selection, seeking the most appropriate testing method to achieve most reasonable testing volume and optimal testing result. In our Research we will focus on improving this model description by adding more user end experience in acceptance testing. Various experiences from industrial companies will be fetched and will be implemented according to the optimized Yin-Yan Theory for software testing. We will also try to introduce more testing dependencies. In User testing, we will add offline and online dependencies test which will be helpful in finding issues in overall acceptance testing phase. Software testing will be done by various tools and will link to proposed theory. Test model selection and test volume evaluation method will be applied to the software testing work of Industrial applications and will compared with traditional method.
A Spatial Domain Approach of Fingerprinting for Colored Digital Images
Authors: Mehan Vineet , Dhir Renu , Brar Y. S.
Published: May 2018

In this paper, a spatial domain approach of fingerprinting is presented for colored digital images. A semi-blind fingerprinting conveys a secure arrangement for trading of digital images. The operational significance of the digital fingerprinting system is verified and estimated. Digital fingerprint implanted doesnâ€™t disturb the perceptible feature of the host digital image. Multi-user collusion attacks are prevented using the proposed apparoach. Variable fingerprint size and dissimilar location insertion play significant role for inhibiting attack.
Load-Balancing using HA Proxy on Multipath System with Flow Slice
Authors: Radha Pallavali , Surekha C , Sesadri U
Published: May 2018

To provide switching capacity in terabit or petabit uses core routers in multipath switching systems (MPS). Without disturbing the order of intra flow packets, the load balance across multiple paths is the main issue of MPS design phase. The performance is not good through heavy tailed flow size distribution in flow based hashing algorithm. Our proposed novel scheme consist the HA Proxy very fast and reliable solution offering high availability, load balancing, and proxying for TCP and HTTP-based applications. To process Layer7 of web site or to provide persistence to the website this scheme is very well suited for heavy load web sites crawling and flow slices are generated through Flow Slice (FS) that halt each flow at every intra flow spell larger than a slicing threshold and balances the load. The study analysis on traces of Internet, our scheme is optimal in load balancing performance through FS and the slicing threshold we set to 1 to 4 ms. We neglected out of order packets limits of probability 1/106 on three prominent MPSs with little hardware complexity and twice of the internal speedup. The theoretical analysis proved that this and trace driven prototype simulations are validated.Â
A Study of Physiological Signals-based Emotion Recognition Systems
Authors: Ping Heng Yu , Abdullah Lili Nurliyana , Halin Alfian Abdul , Sulaiman Puteri Suhaiza
Published: May 2018

The use of physiological signals is relatively recent development in human emotion recognition. Interest in this field has been motivated by the unbiased nature of such signals, which are generated autonomously from the central nervous system. Generally, these signals can be collected from the cardiovascular system, respiratory system, electrodermal activities, muscular system and brain activities. This paper presents an overview of emotion recognition using physiological signals. The main components of a physiological signals-based emotion recognirion system are explained, including discussion regarding the concepts and problems about the various stages involved in its framework.
University Course Timetabling using Multi-population Genetic Algorithm Guided with Local Search and Fuzzy Logic
Authors: Asiyaban Sedigheh , Mousavinasab Zohreh
Published: May 2018

Problem of courses timetabling is a time consuming and demanding issues in any education environment that they are involved in every semester. The main aim of timetabling problem is the allocation of a number of courses to a limited set of resources such as classrooms, time slots, professors and students so that some predefined hard and soft constraints are satisfied. Furthermore, the available resources are used to the best.Â Â Â  In fact course timetabling is one of optimization problems. It has been proved computational complexity of this problem is NP, so there is no optimal solution for that. Therefore, approximation and heuristic techniques are used to find near optimal solutions. Genetic algorithm for its multidirectional feature has been one of the most widely used approaches in recent years. Hence, in this paper an improved genetics algorithm for timetabling problem has been proposed. In proposed algorithm, the fitness of solutions to satisfy soft constraints due to ambiguous nature of those has been specified using fuzzy logic. Also, local search methods have been applied to avoid the genetic algorithm to be trapped in a local optimum. As well as, the multi-population property is intended to reduce the time to reach the optimum solution. Â Evaluation results show that the proposed solutions are able to produce promising results for the university courses timetabling.
Prevention Techniques for Sybil Attack
Authors: Garg Roopali , Sharma Himika
Published: May 2018

Mobile ad-hoc network is a self-governing network, consists of group of nodes that communicates with each other through wireless links. As it is a wireless network, so it is subjected to various attacks. There is one attack which is very dangerous called Sybil attack. In Sybil attack, attackers or malicious nodes uses multiple identities to disrupt the communication between the nodes by capturing necessary and important information and creating misunderstandings between the nodes. In this paper some measures are described to prevent Sybil attack.
A Novel Technique for Trust Delivery in the Cloud
Authors: Prasanna Yeluri Lakshmi , Reddy Dr.E.Madhusudhana , Neelima S
Published: May 2018

For many organizations, keeping data private and secure has also become a compliance requirement. Cloud providers offering Infrastructure as a Service (IaaS) and Platform as a Service (PaaS) offer a â€œshared responsibilityâ€ model for customer applications and data, so companies that are migrating to the cloud are responsible for finding a solution. This research paper proposes a system, which combines encryption with key management to protect critical data in public, private and hybrid cloud environments.
Aggregating IDS Alerts Based on Time Threshold: Testing and Results
Authors: El-Taj Homam Reda
Published: May 2018

Every secure system has the possibility to fail. Therefore, extra effort should be taken to protect these systems. Intrusion Detection Systems (IDSs) had been proposed with the aim of providing extra protection to security systems. These systems trigger thousands of alerts per day, which prompt security analysts to verify each alert for relevance and severity based on an aggregation criterion. Several aggregation methods have been proposed to collect these alerts. This paper presents our threshold aggregation system (TAS). Results shows that TAS aggregates IDS alerts accurately based on user demands and threshold value.
Integrated Marker-Based Watershed Segmentation with Hybrid median Filter
Authors: Kaur Amanpreet , Verma Ashish
Published: May 2018

This paper focuses on marker based watershed segmentation algorithms. As marker based watershed segmentation algorithm causes over segmentation and cause noise in the image produced. So to reduce these problem different researchers has proposed different solutions, but the best solution is to use bilateral filter. The main objective of this paper is to find the gaps in existing literature. The different segmentation techniques are reviewed and found that marker based is best in most of cases because it marks the regions then segment them. But optimizing the marking regions is still an area of research.
Managing Infrastructure OF Water and Petroleum Demand in KSA
Authors: Mahmoud Magdy Shayboub Ali , Abdalla Samir Mahmud Adam
Published: May 2018

The purpose of this paper is showing, how Geographical Information Systems (GIS ) can be used to support infrastructure planners and analyst on water and petroleum demand of a local area in the Kingdom of Saudi Arabia (KSA). The first part of this work discusses the issue of analysis, design and creating the geodatabase system of KSA land and infrastructure using Stylus Studio XML editor, describing the components of the whole system of Subareas in Saudi Arabia affecting local infrastructure planning and analyzing which include of specific area and facilities management. The second part defines the creation of the GIS application of the discussed field having the GIS functions of the infrastructure discusses the geodatabase of the application of GIS In infrastructure in Saudi Arabia districts. The third part defines the results of the statistics analysis population in the Subareas, specify the relation between water resources and the elevations of subareas, the data of the layers of roads, railroads existing in Saudi Arabia specially in the eastern area where most petroleums wells are found.

Â Â Â Â  Using Google earth to show the elevation of the subareas and the relation with the water resources. Three groups of GISÂ  forms was producedÂ  they are the geodatabase of the Saudi Arabia (area, subareas and main cities) ,water resourcesÂ  layers (waterÂ  in land , waterÂ  area and land cover ) , roads, railroadsÂ  and elevations layers. The main contribution in the paper, discussed the infrastructure and theÂ  results of the statistics analysis populationsÂ  in the subareas, specify the relation between water resources and the elevations of subareas of the data layers of roads, railroads existing in Saudi Arabia, especially in the eastern area where most petroleum's wells are found production and exploration ofÂ  petroleum including the geodatabase of wells of petroleum distributed in Saudi ArabiaÂ  finding the locations using Google earth map, satellites to locate the areas of producing petroleum.
Mobile IPTV: Implications for Education
Authors: Suanpang Pannee
Published: May 2018

Mobile IPTV (Internet Protocol Television) provides digital content which users watch as a television broadcast via the Internet on a mobile device. This paper presents the development of IPTV, Suan Dusit Internet Broadcasting, (SDIB) to mobile IPTV and discusses the implications for education. Mobile IPTV was developed as a prototype and designed to support users via wireless and mobile networks regardless of the mobile device. The system can be broadcasted through both live and video on demand (VOD) utilizing a mobile browser (smart phones, smart TVs, and tablets) and web browsers (Windows, Mac, and UNIX). The mobile IPTV prototype has been used and evaluated in this study. The results of studentâ€™s behavior when using mobile phones in their learning found that the highest mobile use was for Facebook and Line to communicate and share information with their classmates. The results of studentâ€™s attitudes towards using mobile phones in their learning found that the highest mobile use was for sharing information with classmates, sharing learning experiences on social networks, and using mobile phones to support their studies. The result of the IPTV and mobile IPTV system evaluation found that overall mobile IPTV had a higher user satisfaction than IPTV. Furthermore, mobile IPTV creates a good learning experience for the users. This paper provides guidelines in technical issues for helping educational institutions to develop mobile IPTV for education.