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All around the world, most of the developing countries practice ancient technique of fishing where fishing net indicator is an important component of night fishing. In Bangladesh, fishermen use kerosene based lamp which is inefficient, costly and also pollutes the environment. This paper proposes a model which will replace the kerosene lamp with LED light feed from solar energy. This solar-LED system...
Adequate energy supply capability is the key factor for the development of any country. Despite of having enormous energy resources, Bangladesh is facing acute shortage of Electricity and needs to enhance the power generation capacity to support the rising demand. Power production and its related environmental issues are becoming a major concern to our country. Effective and efficient use of sustainable...
Radio Frequency Identification (RFID) Technology is growing popular in wireless communications. It can be used easily for security purposes using authentication protocol. In the literature, researchers proposed different types of RFID based authentication protocols to ensure security and privacy. RFID technology is used in IoT (Internet of things) for real time authentication like access control in...
Multi-modal imaging system has emerged as a potential diagnostic tool to address multi-centered information (anatomic, metabolic, etc.) of the disease of interest which is, till now, quite impossible by any one modality alone. Combined positron emission tomography (PET) and X-ray computed tomography (CT) (PET/CT) or single-photon emission CT (SPECT) and X-ray CT (SPECT/CT) as multimodal imaging tools...
In this study, an analysis of the monthly mean values of the temperature variation (ΔT), precipitation (P), extraterrestrial radiation (H0), and global solar radiation on the horizontal surface (H) was carried out to establish relationship for solar radiation estimation for Dhaka, Bangladesh. Sixteen models are developed to predict solar radiation from temperature and precipitation data. Almost all...
Capability approach is hard to operationalize and capabilities are sometimes difficult to reduce into the individual level. We describe our approach to solve these problems paired with an adequate ICT infrastructure and believe that the impact of concrete eGovernment services will become more visible and available. Citizens can inspect it, professionals can target their re-engineering on failure cases,...
The aim of this study is to conduct experimental evaluation of the effect of PET module on magnetic resonance imaging (MRI) system's radiofrequency (RF) field transmission (B1) distribution for a separate head PET/RF-coil modality developed by integrating PET modules (in cylindrical format) in between the 8-elements of a birdcage RF coil for human brain imaging in a 3T Siemens Magnetom Verio MRI system...
taking into account, the need for handling clinical information under uncertainty from clinical domain knowledge and clinical data in clinical decision making, we proposed a new Belief Rule Based (BRB) Architectural Framework to design a clinical decision support system (CDSS). It can handle uncertain information to support the clinical decision making process. This paper describes how to design a...
Use of wireless hand held devices like mobile, PDA, laptop etc. is increasing rapidly. Many advanced users want more functionality with these wireless devices to manage their daily schedule. But most of the wireless hand-held devices have limited resource capability for robust functionality. Therefore cloud computing environment could be an alternative solution for these devices to support resource...
This paper describes 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 are inserted into another MLN to...
This paper presents a method for automatic phoneme recognition for Japanese language using tandem MLNs. The method comprises three stages: (i) multilayer neural network (MLN) that converts acoustic features into distinctive phonetic features DPFs, (ii) MLN that combines DPFs and acoustic features as input and generates a 45 dimensional DPF vector with less context effect and (iii) the 45 dimensional...
This paper presents a method that describes the effect of articulatory velocity coefficient (Δ) on neural network based speech recognition. The method consists of three stages: a) two multilayer neural networks (MLNs), where second MLN takes Δ articulatory parameters as input b) Inhibition/Enhancement (In/En) network and c) Gram-Schmidt orthogonalization before connecting with a hidden Markov model...
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