Periodicals of Engineering and Natural Sciences (PEN - International University of Sarajevo)
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Improving best route using intelligent Ad Hoc system
Get PDFThis study aims to studing possibility transferring data with short time, without or liitle cost and minimum lost of data This study attempts to find a system with high performance in sending and receiving message between nodes minimum lost with information using a genetic algorithm to improve this advantage. Main problem of our study with the system is how to decrease (cost and time) and improve it by intelligent function with GA create two or more back up of distributed node depend on time; route calculation saves as a backup map to direct switch without any delay when simulation execution indicated good result. Simulation results are carried out for both algorithms using MATLAB. The goal of our paper is process of data transferring with the most important three factors less expensive, less time and the least possible loss of transferred data
Third harmonic injection by MMC-swiss rectifier for offshore HVDC wind turbine applications
Get PDFIn this paper, Modular Multilevel Converter MMC-Swiss rectifier for harmonic mitigation is presented and simulated by PLECS software package. The mathematical calculations and system simulation are performed for a converter with nominal power of 400 MW and 400KV DC. The characteristic of Swiss rectifier including the operation principle, modulation strategy and relevant equations are described in detail. The MMC is used as a combination with Swiss rectifier because of its simplicity to be integrated for applications that required different level of voltages and currents, such as offshore wind turbine. Where, there is a trend to generate the electricity and transmit it in DC form due to its economic reasons. Therefore, the usage of MMC-Swiss rectifier is viable for High Voltage Direct Current HVDC applications. The contribution of Swiss rectifier is to make the current drawn from the supply by a converter, pure sinusoidal and this achieved by injecting third harmonic current in the circulating current from the DC side. Thus, this would reduce the THD and improve the power quality of the AC side currents
Combined DWT-DISB based image watermarking optimized for decision making problems
Get PDFCurrently, the protection of digital information, especially in the form of multimedia information such as images, video, text, and audio. The digital nature of the multimedia data has made it prone to misuse and attack, such as is of duplication, transformation, modification, and diffusion. In this sense, it is significant to create a system for protecting the intellectual property rights of the multimedia content. The system should guarantee copyright protection, authentication, and protection against duplication of the material. The drastic development in network multimedia system has made the development of these protection systems challenging. Numerous researches have proposed the use of watermarking to address these issues. The watermarking technique obscures vital information in the original multimedia data in which the hidden data is utilized for copyright protection and authentication. The primary need for any watermarking system should be to guarantee robustness against imminent attack while retaining the quality of the watermark images. This research presents a robust image watermarking technique used to hide details of the RGB Color elements. The proposed approach is an integration of the discrete wavelet transform (DWT) and the relatively new dual intermediate significant bit (DISB). The performance evaluation of the proposed approach produced quality watermarked images that are robust. The proposed method has a PSNR of 101.97 and an NCC of 0.9780 which compare considerable well with the individual techniques
Intrusion detection system in gas-pipeline industry using machine learning
Get PDFIn this paper, we study about the plausibility of building up a total intrusion identification framework for gas pipeline industry utilized in present day man-made AI based frameworks to tell a gas controller of unexpected changes in pipeline working qualities, for example, weight, time interim, delta pipeline PSI and stream rate. This examination assesses the possibility for utilizing AI example of cautions strategies utilizing three able AI calculations, for example, Decision tree, K-Nearest Neighbor and Neural Network to recognize breaks in gas frameworks, like the SCADA rate of progress blend philosophy utilized by the risky fluids pipeline industry. The highlights were extricated from the dataset by evacuating the repetitive information too cleaning the information. The significant commitment to this work is by utilizing choice tree in three distinct degrees for example randomized, advanced and timberland just as utilizing the neural system with 3 layers, 20 units for each concealed layer, 20 preparing rounds and with 2 layers, 50 preparing rounds as appeared in down to earth some portion of this work executed in Matlab R2019a to recognize and foresee the potential assault in the gas pipeline industry. The idea of AI examination considered here shows guarantee, in light of the aftereffects of gas pipeline burst checking under the conditions tried. It can possibly be formed into a compelling crack checking technique, yet additionally testing under genuine world, complex-framework setups, in participation with appropriate AI demonstrating specialists, is expected to all the more likely comprehend the genuine practicality of this adjustment mechanized innovation. Since gases and fluids display diverse physical practices under changing weight and stream conditions an immediate relationship between\u27s the viability in gas versus fluids frameworks can\u27t be accurately expected that why AI would give the answer for variety in Pipeline PSI and complete delta pipeline PSI. For example, by-passing and back-feeding, and various other framework explicit conditions requiring redid arrangements utilizing AI
An overview on wireless sensor networks and finding optimal location of nodes
Get PDFIn this review, our aim is to make a brief description about technology of Wireless Sensor Network (WSN) and its capability to pave the way in order to make connection between physical and virtual world based on Internet worldwide network. Hence, in this technology, sensor nodes play an important role to transmit data from a node to other defined nodes in its broaden range. Due to gain most optimal state from WSNs, subject of localization for radio frequency networks has a great importance in many technical applications such as military devices to detect specified local points to attack or defend, civil engineering and in general sensor networks. The main technology to obtain direct locations is GPS (Global Positioning System). After expressing a brief history on introduction part, we will go through in order to interrogate on main structure of WSNs regarding mathematical formulations and algorithms to find best and optimal access points based on Localization action. Then, we summarize algorithms and approaches to develop in order to introduce the best strategy in order to access nodes in the best possible state in WSNs. As a result, we conclude about the mentioned issues in order of comparison and reaching a final result. Therefore, final aim of this review is to explain efficiency and reliability of localization based on different opinions. Results show this overwhelming technology can be completely modified in order to find new solutions to find nodes in most optimal nodes based on spontaneous structure of WSNs
Lightweight novel trust based framework for IoT enabled wireless network communications
Get PDFFor IoT enabled networks, the security and privacy is one of the important research challenge due to open nature of wireless communications, especially for the networks like Vehicular Ad hoc Networks (VANETs). The characteristics like heterogeneity, constrained resources, scalability requirements, uncontrolled environment etc. makes the problems of security and privacy even more challenging. Additionally, the high degree of availability needs of IoT networks may compromise the integrity and confidentially of communication data. The security threats mainly performed during the operations of data routing, hence designing the secure routing protocol main research challenge for IoT networks. In this paper, to design the lightweight security algorithm the use of Named Data Networking (NDN) which provides the benefits applicable for IoT applications like built-in data provenance assurance, stateful forwarding etc. Therefore the novel security framework NDN based Cross-layer Attack Resistant Protocol (NCARP) proposed in this paper. In NCARP, we designed the cross-layer security technique to identify the malicious attackers in network to overcome the problems like routing overhead of cryptography and trust based techniques. The parameters from the physical layer, Median Access Control (MAC) layer, and routing/network layer used to compute and averages the trust score of each highly mobility nodes while detecting the attackers and establishing the communication links. The simulation results of NCARP is measured and compared in terms of precision, recall, throughput, packets dropped, and overhead rate with state-of-art solutions
A classification model on tumor cancer disease based mutual information and firefly algorithm
Get PDFCancer is a globally recognized cause of death. A proper cancer analysis demands the classification of several types of tumor. Investigations into microarray gene expressions seem to be a successful platform for revising genetic diseases. Although the standard machine learning (ML) approaches have been efficient in the realization of significant genes and in the classification of new types of cancer cases, their medical and logical application has faced several drawbacks such as DNA microarray data analysis limitation, which includes an incredible number of features and the relatively small size of an instance. To achieve a reasonable and efficient DNA microarray dataset information, there is a need to extend the level of interpretability and forecast approach while maintaining a great level of precision. In this work, a novel way of cancer classification based on based gene expression profiles is presented. This method is a combination of both Firefly algorithm and Mutual Information Method. First, the features are used to select the features before using the Firefly algorithm for feature reduction. Finally, the Support Vector Machine is used to classify cancer into types. The performance of the proposed system was evaluated by using it to classify datasets from colon cancer; the results of the evaluation were compared with some recent approaches
Survey and comparison of different classification techniques for select appropriate classifier of image
Get PDFIn human visual system, visual object classification is easy and effortless but in computer vision systems it is extremely hard Because of the various images of different objects within a specific class may have together with the various viewing conditions had led to have a serious problem. If some images have noisy contents or it contains blurry data, thus it is very hard to classify these types of images. Images processing introduces several techniques which be able to classify the data, but if image is blurry or noisy so they can not able to give the acceptable results. In this survey discuss the main classification methods consider, Supervised learning and unsupervised learning. The major motivation of this survey is to gives a brief comparison among different images classification techniques and methods. Finally, it is determined method that more accurately if an image contains blurry or noisy data
Synthesis and characterization of novel nanocomposites with nanofillers particles and their applications as dental materials
Get PDFUsing copolymers materials in the preparation of dental fillings is now more common as a result for needs for more esthetic materials of filling and the international ban on the use of products that contain mercury, amongst others dental amalgams. On the other hand, a disadvantage with the Dental Nanocomposites is that they have a polymerization shrinkage. Particles of the filler are combined in the amongst other components for shrinkage minimization. Filler particle sizes have decreased lately and the majority of Dental Nanocomposites include Nano-particles. New Nanocomposites materials based on 2,2 propyl bisphenyl glycidyldimethacrylate (Bis-GMA) and unsaturated monomers ( Methacrylic acid,Acrylicacid,2,2propylbisphenylglycidyldimethacrylate,Triethyleneglycoldimethacrylate ) with Nano inorganic fillers such as (SiO2,ZrO2 and Hydroxyapatite) were characterized and synthesized for the sake of evaluating the potential applications they have in the field of dentistry, as restoration materials. The initial method was generating and characterizing new dental Nano-composites in presence of Triethylene glycol dimethacrylate (TEGDMA) as crosslinking agent. Composites which contain Bis-GMA and Triethylen glycoldimethacrylate) at the ratio (wt/wt) of 40/20, filled with various Nanofiller amounts (about 4.6%wt) were produced. Photo-polymerization has been induced with camphoroquinone / N,N-dimethylaminoethyl methacrylate(CQ/DMAEMA) present, as a system of photo-initiation. Physicochemical properties, such as volumetric shrinkage (VS), water sorption (WS) and water solubility (WSL) were studied. Characterization is performed with the use of SEM and FTIR spectrum. SEM is utilized for showing the distributions of particle sizes and particle agglomeration of the treated Nanofillers in Nanocomposite. FTIR spectroscopy is initially utilized for identifying qualitative construction of the Nanocomposites. The Thermal stability of all dental Nanocomposites were also studied using the TGA and DSC techniques. The strength and the aesthetic characteristics of resin based Nanocomposite open the possibility of using it for each of the posterior and anterior restorations. Flexural strength, compressive strength, wear resistance and hardness were evaluated. The presented research has the aim of addressing current key utilizations of the practical Nanotechnology in the field of dentistry, most importantly, tooth structure restoration with Resin-based composites (RBCs) which benefit from the Nano-particles
Estimating total dissolved solids and total suspended solids in Mosul dam lake in situ and using remote sensing technique
Get PDFThis study was conducted to demonstrate the ability of using remote sensing technique to estimate the concentrations of total suspended solids and total dissolved solids in Mosul dam lake, Iraq. In situ measurement were done to detect the mentioned parameters during the period July 2018-April 2019, also within this period satellite images were obtained (Landsat 8), where satellite images were georefrencing, those images were transported to their original form(digital numbers ”DNs”, after that they were atmospherically corrected to minimize atmosphere effects. Equations to estimate TSS and TDS were made depending on linear regression correlation between reflectance values and in situ data. Results showed that TSS concentrations correlate to band 1 (highest R2) in Summer (July) and band 5 in Spring (April) are strongly significant correlated to TSS concentration while band 6 in Autumn (September) significant to TSS values, while TDS correlated to band 5 has highly significant correlation (Highest R2 =0.41) in summer (August) while bands: 7,6 and 3 have significant correlation in Autumn (September), Summer (July) and (Spring) April, respectively