Serwis Infona wykorzystuje pliki cookies (ciasteczka). Są to wartości tekstowe, zapamiętywane przez przeglądarkę na urządzeniu użytkownika. Nasz serwis ma dostęp do tych wartości oraz wykorzystuje je do zapamiętania danych dotyczących użytkownika, takich jak np. ustawienia (typu widok ekranu, wybór języka interfejsu), zapamiętanie zalogowania. Korzystanie z serwisu Infona oznacza zgodę na zapis informacji i ich wykorzystanie dla celów korzytania z serwisu. Więcej informacji można znaleźć w Polityce prywatności oraz Regulaminie serwisu. Zamknięcie tego okienka potwierdza zapoznanie się z informacją o plikach cookies, akceptację polityki prywatności i regulaminu oraz sposobu wykorzystywania plików cookies w serwisie. Możesz zmienić ustawienia obsługi cookies w swojej przeglądarce.
In this paper, we have proposed a novel algorithm based on Ant Colony Optimization (ACO) for finding near-optimal solutions for the Multi-dimensional Multi-choice Knapsack Problem (MMKP). MMKP is a discrete optimization problem, which is a variant of the classical 0-1 Knapsack Problem and is also an NP-hard problem. Due to its high computational complexity, exact solutions of MMKP are not suitable...
The degree Δ-closest phylogenetic 2nd root problem (ΔCPR2) is an NP-hard problem concerning phylogenetic tree reconstruction from a graph representing the similarities of the species concerned. Here we present an approximation algorithm for this problem for any fixed Δ >; 3. When |V| >; 3Δ - 1, our algorithm yields an approximation ratio of max((Δ-2)/α, 2), where α >; 1 is a constant whose...
In this paper least square (LS) and linear minimum mean square error (LMMSE) channel estimation (CE) techniques are presented for long term evolution (LTE) single carrier-frequency division multiplexing (SC-FDMA) systems. The main purpose of LTE is to increases data rate but energy utilization both on the mobile terminal as well as network side is important. For doing this, major challenges for LTE...
The Routing Approaches in Mobile Ad-hoc Network have almost entered the saturated arena. But still there are available options of perfection in this meadow. The task of improving the clustering technique is one of the fields which is under rated as a research topic for further improvement of routing. Clustering based MANET routing protocols, which are popular in terms of efficiency, simplicity and...
To support IP-mobility of networks in motion, IETF proposed Network Mobility (NEMO) protocol that uses various signaling messages to ensure connectivity of the mobile nodes with the Internet. However, there has been no comprehensive cost analysis of mobility protocol entities that considers all possible costs. In this paper, we have developed analytical models to estimate total costs of key mobility...
The IEEE 802.11 MAC layer protocol is designed for single channel. The improvement of network throughput can be done through the enhancement of spatial reuse and the reduction of transmission collusions by the utilization of multiple channels is important. Channel allocation can exploit the multi-channel missing receiver problem besides there are other problems such as the primordial hidden terminal...
Although more than a decade of research has been done but pure general-purpose MANET is still not available rather than few prototypes within laboratory due to both technical and socio-economic point of view. Lacking in appropriate guidelines for realistic user traces, mobility models, routing protocols and considering real-life challenges, it is difficult to reproduce any typical scenario in reality...
This paper proposes a cross-layer design (CLD) framework called channel-aware buffer unit multiple access (C-BUMA) for improving wireless local area network (WLAN) performance. In the framework, the radio propagation (i.e. PHY layer) is combined with the medium access control (MAC) protocol for packet transmissions. By sharing channel information with the MAC protocol, the approach reduced unnecessary...
Integrating nodes in a MANET to the Internet require either a connection to the Internet or they can connect to the Internet through the Internet gateways or servers. For the second case a node in a MANET has to find out the gateway or server to connect to the fixed nodes in the Internet. End to end packet delay and throughput are strongly dependent on the time needed to discover the gateways. A source...
Binary Decision Diagram has a great impact on the Boolean function manipulation for its compressed and canonical presentation. In switching function organization ROBDD (Reduced Ordered Binary Decision Diagram) with a fixed variable ordering plays a significant role for its distinctiveness. Combination of multiple functions using switching operations has more redundant states. For removing these redundant...
This paper proposes a new approach based on Quantum Evolutionary Algorithm (QEA) for effective selection and definition of fuzzy if-then rules to design Fuzzy Logic Controllers (FLCs). The majority of works done on designing FLCs were based on knowledgebase derived from imprecise heuristic knowledge of experienced operators or persons but they were difficult and time consuming to evaluate. The proposed...
In this paper we describe a multidimensional implementation scheme for developing English to Bangla dictionary using multidimensional Array. We have converted the string into an integer key and partitioned the keys based on number of letters a word. Multidimensional arrays are good to store dense data. It is hard to use multidimensional array for sparse data. We have compressed the sparse multidimensional...
Recurring Multistage Evolutionary Algorithm is a novel evolutionary approach that is based on repeating conventional, explorative and exploitative genetic operations in order to perform better optimization with improved robustness against local optima. This work compares the performance of RMEA with that of classical evolutionary algorithm, differential evolution and particle swarm optimization on...
Soft computing forecasting tools play an important role to forecast many complicated systems. In this paper, an effort has been made to use soft computing approaches to predict Dhaka daily temperatures for the period of 28 February 1945 to 27 August 2006. We have selected the fuzzy neuro model, the neuro genetic algorithm model as soft computing techniques. To compare results, a popular time series...
In many real-world applications, the accurate number of clusters in the data set may be unknown in advance. In addition, clustering criteria are usually high dimensional, nonlinear and multi-model functions and most existing clustering algorithms are only able to achieve a clustering solution that locally optimizes them. Therefore, a single clustering criterion sometimes fails to identify all clusters...
This paper presents a Bangla phoneme recognition method for Automatic Speech Recognition (ASR). The method consists of two stages: i) a multilayer neural network (MLN), which converts acoustic features, mel frequency cepstral coefficients (MFCCs), into phoneme probabilities and ii) the phoneme probabilities obtained from the first stage and corresponding Δ and ΔΔ parameters calculated by linear regression...
Real-time stream data is characterized by spatial and temporal variability and is subject to unbounded or constantly evolving entities. The challenge is how to aggregate these unbounded data streams at different spaces and times to provide effective decisions making in real-time. This paper proposes a rough set-based sliding window framework for stream data aggregation. Based on current data streams,...
In this paper we present a method for Bangla speech generation from Bangla PDF document. Our main goal is to generate almost natural speech from Bangla PDF document. For this we have proposed a method which performs three major tasks. One is PDF to text conversion, then text to ASCII conversion, and then follows the character and modifier rules while reading text and finally speech generation from...
This paper introduces a novel adaptation scheme of mutation step size for the Artificial Bee Colony algorithm and compares its results with a number of swarm intelligence and population based optimization algorithms on complex multimodal benchmark problems. The Artificial Bee Colony (ABC) is a swarm based optimization algorithm mimicking the intelligent food foraging behavior of honey bees. The proposed...
A recent surge of interest is to recognize Bangla characters. Bangla characters represent complex, multidimensional and meaningful visual information and developing a computational model for Bangla character recognition is a challenging job. This research presents a hybrid neural network solution for Bangla character recognition which combines local image sampling and artificial neural network. The...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.