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Agency: Cordis | Branch: FP7 | Program: CSA-CA | Phase: ENV.2007. | Award Amount: 1.23M | Year: 2009

The general inadequate, when existing, methods of collection and disposal of solid waste in most Asian cities are causing important environmental and social harms, as human diseases spreading, environmental pollution and ground and water pollution. In order to raise awareness, promote an adequate waste collection and treatment system and the economic growth of this activity sector in a technological efficient and sustainable way, new waste management systems must be established, which also take into account the informal sector. This integrated approach should comprise technical, environmental, legal, socio-economic and financial aspects, involving the key actors at different levels to ensure an effective implementation. The proposed project aims to bring together experts and stakeholders in the field of solid waste management in Asian developing countries and Europe. The project will promote international cooperation between research organisations, universities, and social and governmental stakeholders in a European and Asian context (local waste processors, local municipalities and policy makers, local NGOs representatives, etc). A solid waste management expert and research co-ordination platform, and an expertise network, will be established in order to co-ordinate, assess and guide suitable research and strategic activities with the aim of identifying aspects like cost-effective treatment and sorting technologies, environmental impacts, gaps in technical knowledge and socio-economic and policy barriers to further execution. The network will also propose directions for futures research and for local implementation. The general aim of the proposed network will be to develop a variety of innovative, adaptable and replicable approaches to a more efficient solid waste management, integrating appropriate low-cost and efficient technologies with community-based management and their relevant governance, institutional frameworks and socio-economic constraints.

Akhand M.A.H.,Khulna University of Engineering and Technology | Murase K.,University of Fukui
International Journal of Neural Systems | Year: 2012

An ensemble performs well when the component classifiers are diverse yet accurate, so that the failure of one is compensated for by others. A number of methods have been investigated for constructing ensemble in which some of them train classifiers with the generated patterns. This study investigates a new technique of training pattern generation. The method alters input feature values of some patterns using the values of other patterns to generate different patterns for different classifiers. The effectiveness of neural network ensemble based on the proposed technique was evaluated using a suite of 25 benchmark classification problems, and was found to achieve performance better than or competitive with related conventional methods. Experimental investigation of different input values alteration techniques finds that alteration with pattern values in the same class is better for generalization, although other alteration techniques may offer more diversity. © 2012 World Scientific Publishing Company.

Kabir M.M.,University of Fukui | Shahjahan M.,Khulna University of Engineering and Technology | Murase K.,University of Fukui
Expert Systems with Applications | Year: 2012

In this paper, we propose a new hybrid ant colony optimization (ACO) algorithm for feature selection (FS), called ACOFS, using a neural network. A key aspect of this algorithm is the selection of a subset of salient features of reduced size. ACOFS uses a hybrid search technique that combines the advantages of wrapper and filter approaches. In order to facilitate such a hybrid search, we designed new sets of rules for pheromone update and heuristic information measurement. On the other hand, the ants are guided in correct directions while constructing graph (subset) paths using a bounded scheme in each and every step in the algorithm. The above combinations ultimately not only provide an effective balance between exploration and exploitation of ants in the search, but also intensify the global search capability of ACO for a high-quality solution in FS. We evaluate the performance of ACOFS on eight benchmark classification datasets and one gene expression dataset, which have dimensions varying from 9 to 2000. Extensive experiments were conducted to ascertain how AOCFS works in FS tasks. We also compared the performance of ACOFS with the results obtained from seven existing well-known FS algorithms. The comparison details show that ACOFS has a remarkable ability to generate reduced-size subsets of salient features while yielding significant classification accuracy. © 2011 Elsevier Ltd. All rights reserved.

Ahmed R.,Khulna University of Engineering and Technology | Reifsnider K.,University of South Carolina
International Journal of Electrochemical Science | Year: 2011

Electrochemical Impedance Spectroscopy (EIS) is a powerful and proven tool for analyzing AC impedance response. A conventional three electrode EIS method was used to perform the investigation in the present study. Saturated potassium chloride solution was used as the electrolyte and three different material rods were used as working electrodes. Different configurations of electrode area were exposed to the electrolyte as an active area to investigate electrode geometry effects. Counter to working electrode distance was also altered while keeping the working electrode effective area constant to explore the AC response dependence on the variation of ion travel distance. Some controlled experiments were done to validate the experimental setup and to provide a control condition for comparison with experimental results. A frequency range of 100 mHz to 1 MHz was used for all experiments. In our analysis, we have found a noteworthy influence of electrode geometry on AC impedance response. For all electrodes, impedance decreases with the increase of effective area of the electrolyte. High frequency impedance is not as dependent on geometry as low frequency response. The observed phase shift angle drops in the high frequency region with increased working electrode area, whereas at low frequency the reverse is true. Resistance and capacitive reactance both decrease with an increase of area, but resistance response is more pronounce than reactance. For lower frequencies, small changes in working area produce very distinctive EIS variations. Electrode material as well as geometry was systematically varied in the present study. From these and other studies, we hope to develop a fundamental foundation for understanding specific changes in local geometry in fuel cell (and other) electrodes as a method of designing local morphology for specific performance. © 2011 by ESG.

Ahmad M.,Khulna University of Engineering and Technology | Lee S.-W.,Korea University
Image and Vision Computing | Year: 2010

Recognizing human actions is an important topic in the computer vision community. One of the challenges of recognizing human actions is describing for the variability that arises when arbitrary view camera captures human performing actions. In this paper, we propose a spatio-temporal silhouette representation, called silhouette energy image (SEI), and multiple variability action models, to characterize motion and shape properties for automatic recognition of human actions in daily life. To address the variability in the recognition of human actions, several parameters, such as anthropometry of the person, speed of the action, phase (starting and ending state of an action), camera observations (distance from camera, slanting motion, and rotation of human body), and view variations are proposed. We construct the variability (or adaptable) models based on SEI and the proposed parameters. Global motion descriptors express the spatio-temporal properties of combined energy templates (SEI and variability action models). Our construction of the optimal model for each action and view is based on the support vectors of global motion descriptions of action models. We recognize different daily human actions of different styles successfully in the indoor and outdoor environment. Our experimental results show that the proposed method of human action recognition is robust, flexible and efficient. © 2009 Elsevier B.V. All rights reserved.

Choudhury P.K.,Khulna University of Engineering and Technology
Journal of Optics (India) | Year: 2014

Two adaptive Orthogonal Frequency Division Multiplexing (OFDM) modulation formats are experimentally characterized for high data-rate transmission (>10Gb/s) in Reflective Semiconductor Optical Amplifier (RSOA) based access network. The performance of these multi-level modulation techniques is severely affected by non-negligible chirp parameter of RSOA. Here, it is shown that the OFDM system based on water-filling algorithm is not able to guarantee full transmission capacity. In contrast, by using power pre-emphasis technique, transmission capacity is improved up to 17.1 Gb/s at the bit error rate (BER) within Forward Error Correction (FEC) limit over 25 Km fiber span by using commercially available RSOA of limited bandwidth (<1 GHz). © 2014, The Optical Society of India.

Saha S.,Khulna University of Engineering and Technology
2014 International Conference on Informatics, Electronics and Vision, ICIEV 2014 | Year: 2014

Hypovolemia is a dangerous and acute disease for mankind which results form a decreased level of blood volume or a loss of blood. In extreme case, it can cause an irreversible cellular damage which can cause death. In this paper, a fuzzy control system is proposed to detect this hypovolemia class level. The four classes of hypovolemia can be detected by this proposed system for adult persons. This system analyzes five physiological data which come from the devices that are used for monitoring the patients and regarding all these data it'll give the hypovolemia class level of the patients. It'll empower the doctors to take quick decisions in case of surgeries and seizures. This fuzzy system can be embedded using FPGAs or CPLDs so that can also be used to give treatment to remote place patients. © 2014 IEEE.

Rana Md.M.,Khulna University of Engineering and Technology
Proceedings of 2010 13th International Conference on Computer and Information Technology, ICCIT 2010 | Year: 2010

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 terminal are CE and equalization. This paper discusses the CE techniques and challenges imposed by developments in the LTE terminal implementation. Simulation results shows that the LMMSE CE algorithms outperforms the LS in term of mean square error (MSE) by more than around 3dB. Hence, based on a given LTE systems resources and specifications, a appropriate method among the presented methods can be applied. ©2010 IEEE.

Biswas H.A.,Khulna University of Engineering and Technology
Current HIV Research | Year: 2014

After more than 30 years of continuous research as well as unselfish efforts, tremendous and exciting developments have been achieved towards the evolution of HIV treatments both in the directions of antiretroviral therapy and effective vaccine for HIV positive patients. Recent research shows that triple-drug antiretroviral therapy can 'functionally cure' [1, 2] the HIV positive patients, which is a milestone in the therapeutic treatments of AIDS. Despite the significant progress on the evolution of AIDS/HIV treatments, it is still a curse for the humanity and until today the world's most serious epidemic as well as leading infectious killer disease. However, Millennium Development Goals (MDGs) Getting to Zero shows a hope to build up a new world without AIDS. In this paper we investigate and focus on those issues of the overall present scenarios of AIDS treatment for the preventive strategies of HIV infections. A mathematical model is analyzed with numerical simulations showing its importance in diseases control and preventions. Optimal control theory is applied to compare the results in the presence of state constraints. © 2014 Bentham Science Publishers.

Rafizul I.M.,Khulna University of Engineering and Technology | Alamgir M.,Khulna University of Engineering and Technology
Waste Management | Year: 2012

This study aims to characterize the leachate and to investigate the tropical climatic influence on leachate characteristics of lysimeter studies under different seasonal variations at KUET campus, Bangladesh. Three different situations of landfill were considered here as well as both the open dump lysimeter-A having a base liner and sanitary landfill lysimeter-B and C at two different types of cap liner were simulated. The leachate characteristics, leachate generation and climatic influence parameter had been continually monitored since June 2008 to May 2010, these periods cover both the dry and rainy season. The leachate generation had followed the rainfall pattern and the open dump lysimeter-A without top cover was recorded to have highest leachate generation. Moreover, the open dump lysimeter-A had lower total kjeldahl nitrogen (TKN), ammonia nitrogen (NH4-N) and TKN load, while both the COD concentration and load was higher compared with sanitary landfill lysimeter-B and C. In addition, sanitary landfill lysimeter-B, not only had lowest leachate generation, but also produces reasonable low COD concentration and load compared with open dump lysimeter-A. Result reveals that lysimeter operational mode had direct effect on leachate quality. Finally, it can be concluded that the knowledge of leachate quality will be useful in planning and providing remedial measures of proper liner system in sanitary landfill design and leachate treatment. © 2012 Elsevier Ltd.

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