Periodicals of Engineering and Natural Sciences (PEN - International University of Sarajevo)
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An efficient combination between Berlekamp-Massey and Hartmann Rudolph algorithms to decode BCH codes
Full text linkIn digital communication and storage systems, the exchange of data is achieved using a communication channel which is not completely reliable. Therefore, detection and correction of possible errors are required by adding redundant bits to information data. Several algebraic and heuristic decoders were designed to detect and correct errors. The Hartmann Rudolph (HR) algorithm enables to decode a sequence symbol by symbol. The HR algorithm has a high complexity, that\u27s why we suggest using it partially with the algebraic hard decision decoder Berlekamp-Massey (BM).
In this work, we propose a concatenation of Partial Hartmann Rudolph (PHR) algorithm and Berlekamp-Massey decoder to decode BCH (Bose-Chaudhuri-Hocquenghem) codes. Very satisfying results are obtained. For example, we have used only 0.54% of the dual space size for the BCH code (63,39,9) while maintaining very good decoding quality. To judge our results, we compare them with other decoders
Architectural Design of Trust Based Recommendation System in Customer Relationship Management
Full text linkMost Companies are more customer centric than they were before. By adopting this strategy, it made the electronic commerce growing and enhance buyers experience. from the other side, Companies started to explore this customer experience -data generated- to extract knowledge about their customer to be well managed – eCRM - instead of classic customer relationship Management - CRM. Large quantity of Data motivated the companies to look for changes, and ask for more functionality, and this are what influenced software editors to adapt their solutions and implement the power of data. Nowadays, data available – Big Data – put the existing systems and architectures under question and push us to rethink the logical layer to explore this data. Following the data vague, puts a need to reconsider and study the strength of eCRM/CRM existing solutions and architectures.
The main contribution of this paper is to propose architecture built on Trust-Based recommendation able to provide to companies better accuracy, coverage, novelty and diversity during the sales process
Alcohol Modulation of Extra-synaptic Gamma-aminobutyric Acid Type A Receptors
Full text linkDevelopment of effective treatment agents for the alcohol use disorders requires the detailed understanding of molecular targets of alcohol in the brain. The gamma-aminobutyric acid type A receptors (GABAARs) are the major molecular targets of alcohol in the central nervous system. Mediating inhibitory neurotransmission upon GABA binding in the vertebrate central nervous system, GABAARs are heteropentameric chloride channels, assembled from a large subunit pool encoded by 19 distinct genes. It is the subunit composition that determines the receptor’s biophysical properties, neurotransmitter affinity, the pharmacology, and the position on the cell i.e., synaptic or extra-synaptic. This review paper briefly presents the alcohol modulation of a specific GABAAR subtype located at the extra-synaptic sites with a subunit composition of a, b and d
Potential of Algae for Biofuel Production
Full text linkA non-renewable fuel like petroleum has been used from centuries and its usage has kept on increasing day by day. This also contributes to increased production of greenhouse gases contributing towards global issues like global warming. In order to meet environmental and economic sustainability, renewable, carbon neutral transport fuels are necessary. To meet these demands microalgae are one of the key sources for the production of biodiesel. These green microalgae synthesise lipids by using sunlight like plants do but in a much more efficient manner. Biodiesel provides more environmental benefits, and being a renewable resource it has gained lot of attraction. However, the main obstacle for commercialization of biodiesel is its cost and feasibility. Biodiesel is usually used by blending with petro diesel, but it can also be used in pure form. Biodiesel is a sustainable fuel, as it is available throughout the year and can run any engine. It will satisfy the needs of the future generation to come. It will meet the demands of the future generation to come
Finite element modelling to predict machining induced residualstresses in the end milling of hard to machine Ti6Al4V alloy
Full text linkMachining is one of the methods to produce components and products fromraw material. Many factors influence the outcome of the machining processand the life of the components there after. Researchers have tried tounderstand the underlying principles of machining using finite elementanalysis since many years. In the present work the authors have made anattempt to study few behaviour namely, stress distribution, force variation andmachining induced residual stresses while machining hard to machineTi6Al4V alloy using finite element analysis. The model that is presented inthis work is an improvisation of some of the existing models overcomingsome of the shortcomings of the existing model. The work presented here usesthe time tested Johnson-Cook model, but unlike the many other workssacrificial layers is not being used rather, Johnson-Cook damage model isbeing used. In addition, the authors have considered opted for oblique cuttingin spite of high computational time due to the want of more accurate results
Effective data routing using mobile sinks in disjoint mobile wireless sensor networks
Full text linkIn Mobile WSNs (MWSNs) , disjoint clusters could be naturally formed in an unpredictable way that possess the nature of highly dynamic connected and disconnected schema. Many partitions of the network could happen in disjoint mobile wireless sensor networks (DMWSNs), and could last for a significant amount of time that can challenge current routing protocols in crisis-driven and geography-driven applications. We propose in this paper, two new centralized and distributed routing discovery protocols for DMWSN. In the centralized protocol, the static sink controls the motion of mobile sinks. In the distributed protocol, each mobile sink is responsible for collecting data in a specific region. In our work, the mobile sinks need to coordinate among themselves for communication with the base station (BS). The simulation results shows the advantage of our newly proposed protocols in terms of time delay, energy consumed, and the delivery ratio
Trajectory optimization for mobile robots using model predictive control
Full text linkThe goal of this article is trajectory generation for biped robots based on Model Predictive Control (MPC) and the receding-horizon principle. Specifically, we want to minimize the error between the desired CoM and ZMP trajectory and the actual one and the cancellation of the shock gradient of the CoM and ZMP movements. Model predictive control (MPC) consist in a finite horizon optimal control scheme which uses a prediction model to predict vehicle response and future states, thus minimizing the current error and optimizing the future trajectory within the prediction horizon. The proposed algorithm will provide a trajectory of control inputs which will optimize the system states utilizing a quadratic form cost function similar to standard linear quadratic tracking. Specific to finite horizon control, the cost is summed over the finite prediction horizon of time length, rather than over an infinite time horizon. Many techniques have been proposed, developed, and applied to solve this constrained optimization problem for the mobile robots. With our aproach we try to investigate how is the MPC framework is applicable to trajectory generation for point-to-point problems with a fixed final time and to find a set of assumptions and methods that allow for real-time solutions
Adaptive Neural Network Fuzzy Inference System for HFC Processes
Full text linkThe paper presents the design and implementation of a fuzzy inference system (FIS) trained with adaptive neural networks for the generation of specification references in high frequency current (HFC) hardening processes. The specification references are then further used for the control of the process in obtaining the desired outcomes in terms of material hardening and resistance. The FIS is trained using data obtained from experimentation on an industrial HFC device. The trained FIS is then compared to a manually tuned FIS, resulting from expert and operator designs. The results led to the development of intelligent control interfaces in real time through the ANFIS metho
Approaches for the planning and implementation of Industry 4.0
Full text linkThe continuous degree of automation in industry and the networking of individual components such as machines, robots, autonomous drive systems, control units etc. opens new possibilities for linking production and service or, integrating customers and business partners into value-added processes. In this technical revolution, machines should be able to decide independently and even contribute to developments. Before the implementation, planning should be carried out in the planning stage, where Industry 4.0 can be implemented, what should be achieved, how can corresponding plans be implemented, and what aspects of security, machine ethics, information ethics or work ethics must be considered. While answering these questions, it can be found out what resources of material and immaterial nature are needed and what are the advantages and disadvantages that should be expected
Human resource management systems for enterprise organizations: A review
No full textHuman Resources HRs are one of the most important elements in the organizations, but it is difficult to manage a large number of human resources, especially in large companies. For this purpose, companies have tended to manage these resources taking advantages of the technology and the Internet. In this research, we will focus on human resources management in different companies and different countries and explore the factors that motivate companies to adopt Electronic Human Resource Management E-HRM as well as the factors that affect its adoption. The results showed that HRM plays a vital role in facilitating organizational processes, save cost and time, it also beneficial for competitive advantages. The findings also explored that E-HRM aspects and factors impact E-HRM adoption are varied from firm to another and from country to another. However, the companies moved towards adopting E-HRM because it mitigates the efforts of HR managers to take a decision