International Journal of Scientific Research in Information Systems and Engineeing

7-12

Authors: Emmanuel Oshogwe Akpeokhai

Big data describes a large volume of data. This data is used on daily basis, it is not the amount of data that is most important, it is what the data is used for that matters and is most important, especially when it has to do with using the data to increase the efficiency and effectiveness of the business. Big data can be analyzed for insights that lead to better decisions and strategic business moves. The size of this data created is beyond the ability of typical database software tools to capture, store, manage, and analyze. Nowadays Big data ranges from a few dozen of terabytes to multiple petabytes (thousands of terabytes). This data can be measure in the value of data initiatives along the dimensions of the four Vs of big data. Measuring the value of data is an endless process, it is the way we make use of data that allows us to fully recognize its true value and importance to improve our decision making capabilities. These approach place high emphasis on the importance of every individual data item that goes into these systems and, as a result, highlight the importance of every single outcome linking to business impacts delivered. Big Data is now becoming a critically important driver of business success across sectors, but many executives say they don’t think their companies are equipped to make the most of it.

19-24

Authors: Esranur Galip, Feyza Galip

Mathematical techniques such as Linear Programming, Non-Linear Programming, Dynamic Programming are being used for simple and ideal models to find the global optimum solution. But these techniques are not sufficient methods for the real world problems. This problem causes to be developed of heuristic optimization techniques. One of these techniques is Harmony Search (HS) algorithm, developed to find better solution with decreased number of iterations against the existed optimization techniques. The algorithm has parameters such as Harmony Memory Considering Rate (HMCR), Pitch Adjustment Rate (PAR), whose values have to be predetermined before experiments run. Values of these parameters play a critical role by generating solutions. To reveal this assumption, Bridge and Torch (BT) problem is solved with HS algorithm. BT is a combinatoric problem and it’s optimal solution is known for several parameters. Adapted HS algorithm is run for several n, PAR and HMCR values. Experimental results show that if the best values for parameters aren’t selected, the global solution may not be reached in acceptable time.

35-44

Authors: Hadeel Kassim AlJobouri, Hussain A. Jaber Alziarjawey, İlyas Çankaya

Laboratory experiments and practical applications of biomedical courses are very important for engineering students by improving their skills in solving and fixing practical problems. The software package developed in this work has educational effect and introduced economical solution without using various and expensive biomedical experimental equipment or needing wide spaces. In this paper a developed Biosignal Processing and Medical Imaging (BSPMI) Software Package based on Graphical User Interface (GUI) using MATLAB have proposed which can be used for students and researchers in medical and biomedical engineering instruments labs. This package consists of two main modules; the first one deals with the processing of different biosignals, especially Electrocardiograph (ECG), Electroencephalograph (EEG) and Electromyography (EMG) signals while the second one introducing different image modalities such as X-ray, Computed Tomography (CT), Magnetic Resonance Imaging (MRI) and functional Magnetic Resonance Imaging (fMRI). In sum, BSPMI Software Package has designed and implemented as part of biomedical instrumentation course, so it can be easily used by students/researchers using only standalone application or executable file (exe file) without installation of MATLAB program.

51-56

Authors: M. Nuri Almali, Kenan Gürçam, Atilla Bayram

In this study, a mobile robot serving in dangerous and narrow areas for human is designed. The mobile robot consists of a mobile platform and 4-dof robot arm with a gripper. This robotic system can be controlled via either a computer based interface program or a microprocessor controlled module independently operated. The communication between the user and mobile robot is provided by transmitting wirelessly the data from a RF transmitter module to a RF receiver on the mobile platform. The user transfers the data to the USB port of the computer using the designed interface program. The control operation is performed by processing this data with a designed microcontroller board.Furthermore, the objects in the environments and direction of the mobile robot can be seen with cameras and laser LED on the robot at day and night.

65-70

Authors: Özlem Muslu, Yunus Mete

As smartphones came to dominate mobile communications, mobile application world have advanced rapidly to address the mobile user needs, resulting with many applications that target these devices and filling app stores with an exponential rate. If these applications don’t meet customer needs, i.e. if they are buggy, slow etc., they are bound to be perished due to the intense competition among similar applications. This brings the need for thorough testing, particularly for graphical user interfaces. This paper aims to inspect how guided GUI testing is realized; specifically using model-based and model-learning methods. The main focus is to elucidate the shortcomings of current methods, such as automatically entering text inputs, deciding which action to trigger or creating test sequences. Such shortcomings are open to interpretation by artificial intelligence and machine learning techniques. By revealing aforementioned shortcomings this paper plans to raise new research questions in the area of software testing.

79-84

Authors: E. Şengün Ermeydan, İ. Çankaya

The sparsity of a signal means that it can be represented by a small number of non-zero coefficients in a certain basis. The reconstruction of a sparse signal can be done from sub-Nyquist samples by using nonlinear optimization, which is known as “compressive sensing (CS)”. CS is a very promising technique in wide range of areas e.g.wireless healthcare systems, medical imaging such as MRI since CS enables low-power and cost-effective data processing. Most of these applications have been possible since the real world signals such as sound, image are inherently sparse. In this work, a Graphical User Interface (GUI) is developed in Matlab which can be used to do CS based reconstruction of sparse signals and MR images. This program is devoted to the scientists and researchers who desire to explore the quality of reconstruction from sub-Nyquist data and the effect of the parameters in the algorithm based on CS.

91-96

Authors: Y Korkmaz Yengi, M Karayel, S İlhan Omurca

Sentiment classification has been an active research topic in recent years due to its potential impact on semantic based text retrieval. In sentiment classification prob- lem, semi-supervised techniques are became more important because of the huge and nonsense unlabeled data in the texts. Since the class labels are manually as- signed by experts and the text data are usually difficult to distinguish positive la- beled ones from negatives, which of the unlabeled data points should be labeled be- fore gains importance. Basically in semi-supervised classification, data are partially labeled and the task is to label the remaining data. In this paper, a novel two-stage semi-supervised learning model for sentiment classification which is based on Ex- pectation Maximization (EM) and priority aging algorithms is proposed. In the pro- posed approach, the priority degrees initially assigned to unlabeled data and then these are labeled due to their priorities by EM. Namely, the most suitable unlabeled data points are joined primarily to the set of labeled data by using the priority aging algorithm. The effectiveness of the proposed approach is demonstrated by using the IMDB dataset. The experiments show that the more desired results are obtained with regard to the results of conventional EM algorithm.

103-108

Authors: Zafer Ağdelen, Burcu Toker

Patient Satisfaction is an important determinant for planning and improvement of public health services. Recently, in TRNC the concept of patient satisfaction gained great importance. As patients are complaining about the health system of TRNC, Ministry of Health is seeking for changes and solutions which will lead to a strong, satisfactory and sustainable health system. The aim of this study is to, measure, analyze and evaluate patient satisfaction from private health services in the Turkish Republic of Northern Cyprus. The evaluation of the results are planned to provide a scientific basis by for the operations of the Ministry of Health and related public health service authorities for the general improvement of the private health system of TRNC. For collection of data about the patients’ perceptions, a questionnaire consisting of two main parts is prepared and applied in 2014. Based on these facts, a set of suggestions are made on the improvement of health services for the purpose of increasing hospital performance.

115-120

Authors: Yusuf Sait Erdem, Feyza Galip, Ibrahim Furkan Ince, Md. Haidar Sharif

How can we distinguish the scene motion from the camera motion? In most of the computer vision applications, camera movements avoid true detection of events. For instance, if the camera is trembling due to wind in outdoor environments, it creates high frequency motion in the scene motion as well. To detect flame, we use high frequency motion. If camera trembles, then non-flame regions can also be detected as flame due to high frequency camera motion. Consequently, it is essential to de- tect the camera motion and avoid event detection (e.g., flame detection) when the camera is moving. In this paper, we have suggested a camera ego-motion estimation algorithm, which uses a feature based approach for motion estimation. Feature selection limits the number of feature points to be tracked and henceforth lowers the computational complex- ity. Besides, it has a low dependency on structure in the video frame. For video frames with unknown motion fields, displaced frame difference has been used as the criteria for evaluating the algorithm, whereas vector dif- ference between known and estimated displacements has been operated as an error measure for video frames with known motion fields.

125-132

Authors: Coşkun Aygun, Emre Kazan

Model View Controller (MVC) is an architectural pattern introduced at the end of the 70s. The aim of MVC is the interaction of components in the view layer among themselves and with the rest of the system as well as the placements of these components. It is described as the separation of business logic from user interface code. In this way, if we want to make any changes to the view layer, we can do easily without causing any problems or changes to business logic. Model View Presenter (MVP) is the structure that retrieves user interface code (flow between pages, functioning within the user interface, etc.) in view class and carries into a different Presenter class. Thus, it can be operated and tested independently from the creation and rendering of code user interface related to the presentation. In the present study, two applications have been written using Model View Presenter (MVP) and Model View Controller (MVC) with the same requirements. To compare applications written using MVP and MVC, JMeter and speedy framework monitoring comparing tools and analysis results have been presented. MVP has been found to be more advantageous than MVC. In addition, during the encoding process by way of mocking the layers in model class, the necessity of acquisition of model data has been eliminated. The development process has been maintained without the need for database, network connection, file access, etc. And thanks to the mocking of view classes, testing of applications during the development and the creation of user interface has been unnecessary. Changes in the user interface can be made in a much easier and safe manner. After all, the changes to be made here will not affect the process in any way. The advantage of MVP over MVC can be summarized as the ease of testability and less code dependency.