Periodicals of Engineering and Natural Sciences (PEN - International University of Sarajevo)
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A Safety Tracking and Sensoring System for School Buses in Saudi Arabia
Full text linkTechnology can facilitate the daily movement of students to and from the schools. There are a number of IT systems that support the transportation of students, but the most important aspect is to ensure students’ safety. Especially with increasing accidents of forgotten students who fall asleep inside school buses. Such incidents may result in asphyxiation or death. This paper presents a system that contributes to reducing the accidents of forgotten the students inside the school buses by enabling the parents to track their children. It includes installing a sensor system in school buses to protect the students during their daily journeys to and from their School by utilizing IoT technologies
Features of methods and models in risk management of IT projects
Full text linkIT projects are carried out in the context of the constant development of rapidly obsolete technologies and the variability of user expectations. Implementation of IT projects is closely related to risks, the nature of which depends on factors such as subject area, technology used, number of involved developers, etc. Risk management (RM) is multivariate, which determines the search for comprehensive solutions to increase the effectiveness of RM in projects. For IT projects, this problem is particularly relevant due to the backlog of knowledge gained from technology development and intangible results that limit the possibilities of initial planning and risk control. The object of the article\u27s research is the RM process of IT projects. The subject of the study is to determine the issue of selecting and using RM methods and models, taking into account the peculiarities of IT projects. Two groups of methodologies are allocated: methodologies-standards and methodologies based on system development lifecycle (SDLC). PMBOK and ISO 21500 are referred to standard methodologies. The classification of project management (PM) methodologies is generalized. PM methodologies based on system life cycles include flexible Scrum methodologies, Kanban and extreme programming, as well as cascading PM methodologies using the critical path method (CPM) and critical chain project management (CCPM) projects. As a result of the analysis of the main characteristics of IT projects, the peculiarities of the application of methods and models in the management of risks of IT projects in comparison with projects in other fields are determined. The received recommendations can be used for decision-making in the management of IT projects when the project goals are achieved through the correct identification, assessment, and risk control
Survey on Intrusion Detection Systems based on Deep Learning
Full text linkIntrusion Detection Systems (IDSs) have a significant role in all networks and information systems in the world to earn the required security guarantee. IDS is one of the solutions used to reduce malicious attacks. As attackers always changing their techniques of attack and find alternative attack methods, IDS must also evolve in response by adopting more sophisticated methods of detection.
The huge growth in the data and the significant advances in computer hardware technologies resulted in the new studies existence in the deep learning field, including intrusion detection. Deep learning is sub-field of Machine Learning (ML) methods that are based on learning data representations. In this paper, a detailed survey of various deep learning methods applied in IDSs is given first. Then, a deep learning classification scheme is presented and the main works that have been reported in the deep learning works is summarized. Utilizing this approach, we have provided a taxonomy survey on the available deep architectures and algorithms in these works and classify those algorithms to three classes, which are: discriminative, hybrid and generative. After that, chosen deep learning applications are reviewed in a wide range of fields of intrusion detection. Finally, popular types of datasets and frameworks are discussed
A Highly-verified biometric recognition system using an ultra-speed specifically-developed finger vein sensor
Full text link Currently, Biometrics has been utilized the top five modality of face, voice, IRIs, fingerprint, and palm to identify individuals. Comparatively, these Biometrics systems need complex computation to be slow and an easy target to hack. Alternatively, this work proposes a novel biometrics system of highly secured recognition with low computation time using specifically designed biometrics sensor. Consequently, finger vein recognition has been developed. Although, this recognition requires high point of safety measures comes with its individual experiments. The most prominent one being the vein pattern is very difficult to extract because finger vein images are constantly low in quality, seriously hampering the feature extraction and classification stages. Sophisticated algorithms need to be designed with the conventional hardware for capturing finger-vein images is modified by using red Surface Mounted Diode (SMD) leds. For capturing images, Canon 750D camera is used with micro lens. The integrated micro lens gives better quality images, and with some adjustments it can also capture finger print. Results have been comparatively improvement for SDUMLA-HMT database and extensively evaluated with k-nearest neighbors (KNN) algorithm. The (KNN) algorithm is a simple, easy-to-implement supervised machine learning algorithm that can be used to solve both classification and regression problems. KNN calculations are highly accurate in test data. Using stratified 6- fold analysis on all fingers of all hands in collected database, a maximum accuracy of 100% was achieved with an EER of 0% when select right hand and middle finger, based on the analysis of the 106 persons present in the data set. Many approaches have been used to optimize vein image quality. The proposed system has optimum results as compared to existing related works. The work novelty is due to the hardware design of the sensor within the finger-vein recognition system to obtain, simultaneously, finger vein and finger print at low cost, unlimited users for one device and open source
Lumbar-load analysis of a soldier while carrying the heavy loads
Full text linkBackground: The aim of the article was to create an appropriate computer model based on the real status of the mortar operator\u27s workplace and to analyze the workplace. After that, for any possible exceedances from the aspect of the organism\u27s load and safety, the aim is to redesign the workplace and bring it within the limits of the permissible load, and therefore the required safety. The aim is also to identify the characteristic work movements performed by the soldier and to carry out an ergonomic analysis of the soldier\u27s efforts and to propose appropriate improvements.
Methods: The analysis is performed on a total of 20 soldiers, from which is determined an average model of the following characteristics: 180 cm in height and 85 kg in weight. The task is to take a mine from the shell containing the mines, then transfer it to the mortar and fill the mortar barrel. The weight of the 120 mm mortar grenade is 14.8 kg. The average soldier is 26 years old and his military exercise lasts 4 hours. The CATIA software package (Dassault Systèmes, Vélizy-Villacoublay, France) is used for analysis. By knowing the anthropometric and work environment data, with ergonomic design and analysis, the following analyses were made: biomechanical analysis, rapid upper limb assessment (RULA) and carry analysis (option from CATIA software).
Results: The proposed modification of the position resulted in a decrease in the L4/L5 torque from 316 Nm to 154 Nm along with decreasing of the compression force on the L4/ L5 from 5,779 N to 3038 N (the compression force allowed is 3,400 N), and while the RULA analysis is from the red color position 1 (score 7; maximum load requiring rapid repositioning of such position), revised final score 4 made in yellow (a solution acceptable for this work place).
Conclusions: By ergonomic analysis, obtained proposal will lead to less chance of injury, prevention of burn out syndrome, fewer chances of illness, decreasing the fatigue, greater safety, less energy spent and better preparedness for all necessary tasks
Fracture mechanisms of polycrystalline advanced ceramics
Full text linkPolycrystalline advanced ceramics are synthetic products produced by sintering together selected ceramics grains in a metal matrix serving as a binder. In order to be able to propose their optimization, achieving high performance cutting and leading to reduced operating costs and improved working environment, relevant fracture mechanisms involved in their failure need to be determined. In this work, experimental results of plane strain fracture toughness obtained earlier on single-edge-V-notched-beam specimens were supported with microscopy analysis. These findings establish a clear connection between the fracture toughness results and the fracture mechanisms visible on and beneath the fracture surfaces, revealing adiabatic conditions that occur at the crack tip during fracture
Service Marketing and Quality Strategies
Full text linkMarketing concept was formerly built on manufacturing based model with products and goods-centered, for mainly economic exchange. It was developed, commencing from the time of the Industrial Revolution. After its conception, the marketing ideas began and thereafter, broadened their perspectives to involve exchange, substitute and replace with more marketing activities than goods and products manufactured. The formation of several sub-disciplines of service marketing explained the logic of product value and brand creation, and it has transpired to address several broadened perceptions and realities. Service marketing creates more influential programs, based models and it is apparent in the prototypical features, which are identified as distinctive services apart from products, having Inseparability, Heterogeneity, Intangibility, and Perishability. Therefore, this review paper argues that all these characteristics basically; (1) do not differentiate services from products and goods; (2) The service marketing and quality strategies have derived the meaning from the product manufacturing perspective; and (3) They employ very inappropriate and normative strategies. Many services provide the basic foundation highly productive service-dominant views of many exchanges that take place in service marketing, from which, appropriate strategies can be generated
Transform Based Image Denoising
Full text linkThe Image denoising is the retrieval of quality image from the noisy image corrupted by channel noise at the time of transmission. Without denoising process it becomes very tough to carry further analysis on these types of images. In this paper, transform based image denoising techniques are proposed to address these issues for the removal of noise. The flow of work initiated with generation of sub-band coefficients using transform techniques like DCT, DWT, SWT etc. These coefficients are under goes spatial filtering process with order statistic filters like (min, max, median etc.) Then inverse transform is applied on the processes coefficients to generate denoised image. The resultant image is noiseless quality image and this can be used for further analysis
Mechanical and Tribological Characterization Nitrided Al-7075/Al2O3 Metal Matrix Composites
Full text linkThis research is mainly intended to evaluate the effect of nitriding on
the wear behaviour of Al2O3 reinforced aluminium-7075 metal matrix composite materials. The composites were prepared by using powder metallurgy process. The amount of Al2O3 in these composites was varied from 3% to 7% (by weight) in steps of 2%. Homogeneously mixed powder by using double cone mixture was compacted using hydraulic press with 60KN of load. The compaction load was optimized to get a equal density as base specimens,then the compacted specimens were sintered at 5400 C which is 80% of melting temperature aluminium base alloy. The sintered materials were nitrided with a temperature of 520°C for 72hrs. Two different set of specimens, namely, nitrided composites and non-nitrided composites specimens were tested for their wear resistance and hardness properties. Pin-on-disc equipment was used for wear testing and microhardness testing machine was used for hardness testing. Elemental X-Ray Diffraction technique (XRD) was used to ensure the diffusion of nitrogen to the surface of composites. After all the standard tests it was observed that the nitrided composites have shown better wear resistance than the non-nitrided composites
METAPUF A Challenge Response Pair Generator
Full text linkPhysically unclonable function (PUF) is a hardware security module preferred for hardware feature based random number and secret key generation. Security of a cryptographic system relies on the quality of the challenge-response pair, it is necessary that the key generation mechanism must unpredictable and its response should constant under different operating condition. Metastable state in CMOS latch is undesirable since it response becomes unpredictable, this feature used in this work to generate a unique response. A feedback mechanism is developed which forces the latch into the metastable region; after metastable state, latch settle to high or state depends on circuit internal condition and noise which cannot be predicted. Obtained inter hamming variation for 8 PUF is 51.43% and average intra hamming distance is 99.76% with supply voltage variation and 96.22% with temperature variation