Kazi Shahiduzzaman - Academia.edu (original) (raw)

Papers by Kazi Shahiduzzaman

nternational journal of advanced research in computer and communication engineering, Feb 28, 2015

This paper addresses the optical flow analysis and the smoothing effect in Local and Global Diffe... more This paper addresses the optical flow analysis and the smoothing effect in Local and Global Differentiation. There are lots of Local and Global methods and their variants available. But in this paper, as a prototype of local methods least-square fit of Lucas and Kanade has been employed, while the Horn and Schunck approach has been considered as the representative for a global method. Each of these methods has their advantages and shortcomings. Which are mentioned in their respective section. As a consequence, the proposed made from the hybridization algorithm incorporates the advantages of both field and possess less disadvantages. Improvement is made in our algorithm using the spatio-temporal approach and appropriate differentiation approximation

Free space optical communication (FSO) is the future technology for high speed and highly secure ... more Free space optical communication (FSO) is the future technology for high speed and highly secure data communication. Terrestrial operation is one of the applications of FSO where data communication is established between ground to ground platforms. But the FSO has to face challenges against atmosphere in form of attenuation and turbulent channel. The atmospheric attenuation is mainly caused by scattering. The atmospheric attenuation affects the overall quality of the system. In this paper the effects of scattering on the terrestrial FSO which have a link length of 2 km, is simulated using OptiSystem 7.0. The outcome of this simulation will prove that an optical source of 1550 nm is very useful for data transmission of maximum 5 GBits/s in the local weather with a bit rate error less than 10 -9 . The results can be also used to determine FSO parameters like optical transmitted power, aperture radius of transmitter and receiver, gain of the optical signal etc for a terrestrial link of 2 km range.

International Journal of Electrical and Computer Engineering, Aug 1, 2019

This research work focused on transmission channel characterization of Free-Space-Optical (FSO) c... more This research work focused on transmission channel characterization of Free-Space-Optical (FSO) communications technology for deploying in the developing country like Bangladesh. To meet the tremendous amount of data traffic, mobile operators and ISPs need better solution than the existing RF and fiber optic communications. Moreover, Bangladesh is entering in the era of satellite communications by launching its own satellite. So, Bangladesh needs such communication technology that provides higher channel bandwidth, sophisticated transmission security and can cope channel dispersion. FSO is a good candidate that can meet all these features. The transmission channel characterization plays a significant role in optimizing the performance of FSO link. In this work, the channel characterization of FSO technology from the weather perspective of Bangladesh has been investigated thoroughly. The obtained results show that the atmospheric scattering effect does not hamper the short range FSO link performance, whereas, the atmospheric turbulence effect is not favorable to deploy FSO technology with reasonable quality signal unless it is optimized properly using antenna aperture averaging technique.

AIP Conference Proceedings, Dec 31, 2022

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2024

Transmission lines are crucial for efficient and reliable electricity delivery of electricity but... more Transmission lines are crucial for efficient and reliable electricity delivery of electricity but can also be susceptible to faults due to various factors such as external interference, device failures, and ambient conditions. The reliability, accuracy, and efficiency of fault management on the power grid depend heavily on fault classification and fault location. This study integrates a fault detection and classification system for transmission lines and an automatic fault localisation system (ANFIS) for fault location to present a comprehensive approach to managing transmission line problems. The proposed methodology aims to address the technological challenges associated with fault management in power grids by leveraging existing research on radial basis function neural networks (RBFNN) and ANFIS. The integration and validation of the proposed methodology involve incorporating improved fault classification via RBFNN and robust fault locating through ANIS. Simulations and real-world testing will validate the integrated methodology, assessing its performance in various fault scenarios and system configurations. The WSCC 9-bus system is used to validate and test the proposed design, which includes power plants, transformers, transmission networks, and distribution networks. The ClasLoc system has a classification accuracy of 90% and a location accuracy of 89%, ensuring a safe working environment.

The dataset represents different human activity, we have just considered six kinds of activities,... more The dataset represents different human activity, we have just considered six kinds of activities, walk, walk up stairs, walk down stairs, sit, jump, laying. The associated code written in MATLAB 2019b.

International Journal of Electrical and Computer Engineering (IJECE)

Elder citizens face sudden fall, which can lead to injuries of both destructive and non-virulent.... more Elder citizens face sudden fall, which can lead to injuries of both destructive and non-virulent. These sudden falls are later more precarious than diseases like heart attack, blood sugar, blood pressure because these can be untreated for a lengthy time which can lead to death. Elder citizen who experiences a precipitous fall, carry out their communal life narrowed. Therefore, a shrewd and adequate anti-fallen system is required for aiding elderly health care, specifically to those who live individually. So, it can identify and anticipate a precipitous fall through appropriate human activity recognition. In this study, we have suggested an end-edge-cloud based wearable EdgeFall architecture for elderly care. We have performed simulation setups to clarify the query of why we need such a strategy, and its validity. We have achieved maximum 91.87% accuracy with 1.6% false alarm rate (FAR). These empirical results indicate the superiority of using tightly couple multiple information for...

2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE)

International Journal of Engineering, 2018

The term Health Informatics represent a huge volume of data that is collected from different sour... more The term Health Informatics represent a huge volume of data that is collected from different source of health sector. Because of its' diversity in nature, quite a big number of attributes, numerous amount data, health informatics can be considered as Big Data. Therefore, different techniques used for analyzing Big Data will also fit for Health Informatics. In recent years, implementation of Data Mining on Health Informatics brings a lot of fruitful outcomes that improve the overall healthcare system both in analyzing disease and improving healthcare services which eventually reduce expenses. This paper will define the term the health informatics with a detail discussion about different source of heath informatics. Finally, some case study will be illustrated as examples where data mining techniques are applied to produce more efficient, in depth outcomes in analyzing disease.

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2021

Sentiment Analysis studies people's attitudes, opinions, evaluations, emotions, sentiments to... more Sentiment Analysis studies people's attitudes, opinions, evaluations, emotions, sentiments toward some entities such as products, topics, individuals, services, issues and classify them whether the opinion or evaluations inclines to that entities or not. It is getting more research focus in recent years due to its benefits for scientific and commercial purposes. This research aims at developing a better approach for sentiment analysis at the sentence level by using a combination of lexicon resources and a machine learning method. Moreover, as reviews data on the internet is unstructured and has much noise, this research uses different preprocessing techniques to clean the data before processing in different algorithms discussed in subsequent sections. Additionally, the lexicon building processes, how the lexicon is handled and combined with the machine learning algorithm for predicting sentiment is also discussed. In sentiment analysis, sentence's sentiment can be classified...

International Journal of Innovative Research in Science, Engineering and Technology, 2018

The quick escalation of the Internet and the digital economy has driven an exponential rise in re... more The quick escalation of the Internet and the digital economy has driven an exponential rise in response for data storage and analytics, and most organizations are facing difficult challenge in protecting and analyzing these increased volumes of information. Big data and cloud computing are both the fastest-moving technologies from the last decade, so there is a need to integrate the two technologies together to come up with a new defined technology which will solve the present problems in either big data alone or cloud computing alone. The main aim of this study was to visit different literature in cloud-based approach on big data analysis and find out some challenges countered on the cloud computing approach in big data analysis. It was found that there are still difficulties in using cloud based approach in big data analysis especially in terms of security and noisy data retrieved from cloud server. It was recommended that further research must be done on ensuring security on the ...

2019 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW), 2019

Falls commonly occur for elder citizens which may lead to severe injuries. In this paper, we prop... more Falls commonly occur for elder citizens which may lead to severe injuries. In this paper, we propose a cloud-network-edge architecture to enhance fall detection, prevention and protection which consists of the medical cloud, edge networks and end-devices, such smart helmet. The smart helmet is integrated with wearable cameras, accelerometers, gyroscope sensors; hence, it is able to sense daily activities of the elderly based on data fusion from multi sensors collaboratively. The processing of the sensor data can be offloaded at the edge for reducing delay and preserving privacy. The medical data can be delivered over a secure medical network to the medical cloud for services, such as fall alarm. In particular, we evaluate the performance of multimode processing algorithms for video and accelerometer data to enhance fall detection. Our experimental results show that the proposed algorithms are able to increase the accuracy and reduce the false alarm effectively.

International Journal of Engineering and Advanced Technology, 2021

As renewable energy has become increasingly popular worldwide, while solar and wind energy has be... more As renewable energy has become increasingly popular worldwide, while solar and wind energy has been the leading source of renewable energy up to now, the accuracy of renewable energy forecasts is challenge for the planning, management, and operations of the power system. However, due to the intermediate and frenzied nature of renewable energy data, this is a most challenging task. This study provides a comprehensive and complete review of the renewable energy forecast based on different machine learning algorithms to explore effectiveness, efficiency, competence, and application potential. In this work, we have built time series renewable energy forecasting model with Support Vector Machine (SVM), Linear Regression (LR), and Long Short-Term Memory (LSTM) on twelve (12) countries. The experimental results are very interesting. For example, SVM based forecasting model is a better fit for the countries with small mean and standard deviation while linear regression-based methods show a ...

IJARCCE, 2020

Deep Neural Network (DNN) has been a great success in many areas recently. It has achieved an adv... more Deep Neural Network (DNN) has been a great success in many areas recently. It has achieved an advanced performance in applications such as image classification, speech recognition, and time series forecasting. However, when the data is getting bigger, the performance computation on a single CPU becomes worse. One approach to tackle this challenge is to distribute the DNN workload into several machines. This research uses mobile cloud computing as a joint distributed environment to run the DNN application. An image recognition problem used as a test case will be conducted on both mobile and cloud platforms. Latency time and energy consumption measured in each DNN layer and used as the parameters to allocating efficiently the computational task of each layer in to suitable cores of mobile devices or cloud in Mobile Cloud Computing (MCC) environment. The joint platform can achieve improvements up to 73% in latency and 56% in energy consumption. As an addition, we apply lossless compression to reduce the influence of the communication between layer.

European Journal of Electrical Engineering and Computer Science, 2020

Many researchers have already shown that only user-based or content-based features are not enough... more Many researchers have already shown that only user-based or content-based features are not enough to detect rumor in social media and for better prediction we need to consider both. In our research, we argue that the word embedding feature and sentiment score with subjectivity can also play a vital role in this detection task. Moreover, to detect the rumor at a very early stage and debunk it we may need to make the detection framework portable to legitimate users. This critical situation demands a secure implementation of rumor detection framework so that the user information used for training the prediction model can be protected from unauthorized access. In our experiment, we have also found that besides SVM, Logistic Regression and Random Forest algorithms, Artificial Neural Network and k-Nearest Neighbor can be used for rumor detection purpose where Artificial Neural Network and Random Forest outperformed (more than 90%) among all these algorithms in terms of accuracy. Other thr...

IOSR Journal of Electronics and Communication Engineering, 2017

VoIP (Voice over Internet Protocol) is the next generation telecommunication whereas traditional ... more VoIP (Voice over Internet Protocol) is the next generation telecommunication whereas traditional telecommunication systems have disadvantages on IP networking, ATM, Voice and Data communication. Security breaches, maintaining large network, QoS are important issues associated with communication. These led us to research and introduce virtual private network (VPN) for voice and data communication on hybrid private branch exchange (PBX). It can be implemented over the skeleton of existing architectures that helps organizations connect the spread out sites and distributed workers through a secure VPN using the existing public or private network. Voice can be transferred on secure VPN backbone and delay analysis of the network is the main objectives and IP PBX or SIP server which is used for voice gateway. Network simulation helps to analyze the possible problems of the data and delay which make us more confident of this research.

To achieve the desired goal of increasing the SNR and reducing BER in wireless communication, it ... more To achieve the desired goal of increasing the SNR and reducing BER in wireless communication, it is required to mitigate fading of signal during transmission. If more than one antenna is used for transmission and reception, it will improve the performance. The reliability of the transmission of the wireless communication can be enhanced by minimizing the channel fluctuation due to fading. This minimization process can be achieved by different diversity techniques. The central idea in diversity is that different receiving antenna will receive different version of the same signal,which will increase the chances of small deep fading of signal. In this paper we have analyzed the performance of a multiple receiver antenna system using maximal ratio combining diversity technique for different parameters like BER, SNR.

Mobile and Wireless Communications Network Layer and Circuit Level Design, 2010

International Journal of Electrical and Computer Engineering (IJECE), 2023