Periodicals of Engineering and Natural Sciences (PEN - International University of Sarajevo)
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Interpretation of localized surface nano-structures
Get PDFRecent experiment was done to create surface nano-structures by extrusion of slow highly charged ions with LiNbO3 single crystal. In this paper, we suggest a mechanism based on plasma expansion approach to explain the formation of the surface nano-structures. Furthermore, the effects of the physical parameters of the non-Maxwellian plasma on the created structures are examined
Application of external prestressing on the rehabilitation of reinforced concrete beams
Get PDFConcrete structure experiencing any form of distress due to multiple reasons; need remedial, strengthening, and rehabilitation measures, if the structure is to attain serviceability and strength requirements of different elements. Further, the external welding reinforcement and prestressing of the reinforced concrete members have been proven to provide an effective strengthening approach. The prestressed concrete describes a type of concrete where internal stresses are instituted to counteract the multiple tensile stresses that are characteristics of service loading. In these concrete structures, cables, hard-drawn wires or bars of high strength alloy steel are employed as tendons to generate the counteracting stresses. The prestressed concrete is made up of an active combination of steel and concrete as these materials are traditionally stressed before the application of external loads. The prestressing technique has been comprehensively reviewed in numerous articles showing that it is more effective than the RCC structures. External prestressing is emerging as an essential component of prestressing as it is structurally attractive and economical. In external prestressing, the tendons are placed outside the member to improve the load-bearing capacity of the structures and their members. In this study, a beam exposed to various loading condition and distress is strengthened using external prestressing. The ultimate deflection and failure characteristics were evaluated using different loading scenarios; beam weight, live weight, and dead weight. The results for the prestressing analysis was provided for 10 and 20 strands
Detection and classification of vehicle types using machine learning technology
Get PDFIn this paper, we focus on detection and recognition of vehicles from a video stream. Contrasted with conventional techniques for article identification and arrangement, Machine learning strategies are another idea in the field of PC vision. Our model works in two phases: an information planning step, it comprises of applying Treatments on the pictures forming the dataset so as to separate the qualities, the subsequent advance is to apply the idea of convolutional neural systems to order vehicles. Vehicle discovery permits the utilization of different uses of computerized reasoning framework for a few purposes, particularly: canny transportation, programmed checking, self-sufficient driving, and driver wellbeing ensure. The motivation behind this article is to enable us to identify vehicles moving before us by means of a camera put under the rearview mirror and draw the direction lines of our vehicle. In this work, we center on the location and acknowledgment of vehicles in a video stream. We have demonstrated that our strategy for work extraordinarily improves the exactness rate and diminishes the mistake rate, however in spite of the utilization of regularization, institutionalization and advancement systems, the preparation time of our model remains an issue to raise. Our method gave better results in terms of precision, detection and classification where we obtained an accuracy of 99.2%
Bounds of the initial coefficient for sakaguchi function in the conical domain
Get PDFIn this paper, we consider a new class of sakaguchi type functions which is defined by Ruscheweyh q-differential operator. We investigated of co-efficient inequalities and other interesting properties of this class
Evaluating of mechanical properties of (silicone/arabic gum/fish hask) composites used as pressure garment prosthetics
Get PDFThe mechanical properties of the silicone/ Arabic gum(oliban)/fish hask composites sheets as pressure garment for burn dressing material products were evaluated under compressive, tear resistance, and tensile loading conditions. Against a skin-like material, a silicone/ Arabic gum(oliban)/fish husk composites garments had the highest antibacterial properties that isolate the injured skin from the outside polluted environment to prevent infection besides that it help to improve the skin appearance by management the scar growth. It spread the pressure above the large area of skin which include healthy and injured that is will make injured skin to grow as same as normal neighbouring area
Buckling analysis of reinforced composite plates with a multiwall carbon nanotube (MWCNT)
Get PDFBuckling analysis of mechanical structures is essential to insure stability under loading .Critical load of buckling refer to the maximum load can be withstood without losing of stability and avoid a catastrophic damage due to the collapse of columns .Improving of mechanical properties spatially those related with elastic behaviors of materials can lead to improving buckling since it can be raised the value of critical load . Nanotechnology is one of the modern methods which makes significant effects on the mechanical properties of materials. In the field of composite materials this technology leads to valuable improvements for the favorite properties. In this regard Nano composite materials are paid a spatial attention in research for the last decade. The main aim of the present work is to investigate the effect of Nano carbon weight fraction on buckling of the composite plate. Five samples of Nano composite plates were prepared and fabricated for experimental investigations .The plate samples are combined of woven reinforcement fiber and polyester matrix with Carbon .The weight fraction of Nano additives are 0 %, 0.5%, 1%, ,1.5 and 2%, of resin materials weight. To provide homogenous composite an ultrasonic homogenizer is utilized. The experimental work include buckling test for different Nano plates samples with simply supported at two ends and free at the other .Finite Element analysis was achieved via ANSYS R15.0 with proper elements ,meshing ,boundary condition and static analysis .It is found that increasing of Nano carbon weight ratio tends to increase critical load of buckling ,the maximum buckling load is at 2% wt ratio and the experimental results shows fair validation for the numerical analysis where the maximum error dos not exceeded 15%
E-governance applications and usage patterns in developing countries
Get PDFE-Governance integrates the use and implementation of technology based suites and modules for the usage in the public domain so that the common persons can be able to use this segment without harassment in public offices. The approach of e-governance associates the online services so that the real time analytics and the implementation can be done to the public services without any delay and with higher degree of accuracy. The use of e-governance is quite prominent in assorted streams whereby the citizen identification and the government services are required to be associated so that the higher performance and cumulative recital is there. The paradigm and implementation perspectives of e-governance are required in the citizens based services for governance and services towards the access to government schemes and thereby this manuscript is having the key focus in this segment for the usage patterns of e-governance in the assorted aspects with specific scenarios of developing countries. In this research work, the adoption and integration of e-governance is associated as the key point towards the smart applications in the smart environment. For the development and growth of any country, there is need to associate the technology based products and services. These are the key points in the smart environment with the e-governance in any region. This work is pointing out these perspectives of e-governance and online services
Soft public key Cipher
Get PDFEncryption in general is the process of keeping up the secrecy of data (both fixed and versatile) utilizing programs that can Convert and make an interpretation of that data into codes so that whenever got to by unapproved people doesn\u27t They can comprehend anything since what appears to them is a blend of images, numbers and unlimited characters, the file is encrypted And decryption by password, which must be known to both parties (sender and receiver) This is called With symmetric encryption, Decryption means decryption. The quality and viability of encryption rely upon two key factors: the algorithm, and the key length evaluated by Bit, the higher the bit, the greater the security and difficulty of decrypting. The concept of soft set was studied and applied on the public key cryptography like simple Knapsack and Trapdoor Knapsack ciphers. Significant results were presented that was the measure of the evaluate encryption using the SNR and PSNR
Machine learning algorithms for distributed operations in internet of things IoT
Get PDFGenerally, the things that have the great role in facilitating the emergence of internet-connected sensory devices can be embodied in the developments that happen in the sphere of software, hardware, and communication technologies. The internet-connected sensory devices present perceptions and measurements of data from the real world. It is suggested that nearly through 2020, the total use of internet-connected devices may reach to 25 to 50 billion. Actually, the relation between technologies and the volume of data being published is kept in one line. That is, if there is growth in the technologies, the volume of the data will be increased. Such technology, i.e. internet-connected devices, can be called as Internet of Things (IoT). Its role is to connect the real world with the cyber one. Furthermore, generating great data with velocity as its main characteristic will help in increasing the volume of IoT. To develop smart IoT applications, one can use such intelligent processing and analyzing such big data. In this paper, we tend to study the impact of implementing machine learning (ML) algorithms and methods and their efficiency in the IoT domain. As well as explore how these algorithms help in founding efficient backbone solutions to analyze and estimate the huge amounts of data that are expected to arise in the coming few years due to the rapid growth on demands for IoT based applications
Using of machines learning in extraction of urban roads from DEM of LIDAR data: Case study at Baghdad expressways, Iraq
Get PDFRoad extraction from remotely perceived information may be a difficult issue and has been approached in many various ways in which by photogrammetrists and digital image processors. This study was given extraction of roads from DEM of LiDAR with IKONOS image using machines learning (ML). Two set of data were used in this study. IKONOS Image and Digital Elevation Model (DEM) data were combined to produce thematic mapping. The spatial resolution of data is 1 m and was acquired on 2010. The result f thematic map based on theses images and the methods was used three models of machines learning. The problem of this study, when was used the LIDAR data to extract the road is very difficult because the LiDAR data is too noisy and employed it also so hard. Moreover, this article will describe an effective and compare between several machines learning algorithms (RF, BYO and MLP) for detection the roads from LIDAR data. The statistical indictors such as an overall accuracy (OA), kappa analysis statistic (K), (MAE) which is Mean Absolute Error and finally the (RMSE) which is Root Mean Squared Error. All these will be use to get the accuracy of classification assessment and the best model to produce the thematic map