International Conference on Innovations in Science, Engineering and Technology 2016 (ICISET 2016)
Permanent URI for this collectionhttp://dspace.iiuc.ac.bd/handle/88203/338
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Item International Conference on Innovations in Science, Engineering and Technology 2022 (ICISET-2022)(Faculty of Science & Engineering, 2022-02-24) Editor: Karim, RezaulItem Human Activity Recognition using Depth Body Part Histograms and Hidden Markov Models(IEEE, 2016-10-28) Uddin, Md. Zia; Torresen, Jim; Jabid, TaskeedThis paper proposes a novel approach for human activity recognition based on body part histograms and Hidden Markov Models. From a depth video frame, body parts are segmented first using a trained random forest. Then, a histogram for each body part is combined to represent histogram features for a depth image. The depth video activity features are then applied on hidden Markov models for training and recognition. The proposed method was superior when compared with other conventional approaches.Item Development of a telemedicine model with low cost portable tool kit for remote diagnosis of rural people in Bangladesh(IEEE, 2016-10-28) Prodhan, Uzzal Kumar; Rahman, Mohammad Zahidur; Abid, Ahsin; Bellah, MohtasimIn this paper we have developed a Telemedicine model with portable tool kit for remote patients to collect vital signs of patients which are used for Telemedicine services. This developed system is low cost, portable, and easily maintainable and can be integrated with any complex health system. We have used the GNU health where local doctors can communicate with a low cost terminal. Expert doctors can also take part through this terminal and deliver treatment to the patients. The patient’s medical history is stored in GNU health database and accessed from the remote terminal. We have successfully designed the system and collected the patient's data. Through our developed android apps, the data will be stored in the staging server. From the staging server, any health system can collect the data and give the services to the rural people. Finally we can conclude that, Telemedicine service can be given effectively by using our portable tool kit in a cost effective manner which improves the quality and accessibility especially in rural areas.Item A Compact Patch Antenna for Ultrawideband Application(IEEE, 2016-10-28) Islam, M. Tarikul; Samsuzzaman, M.; Islam, M. M.; Mahmmud, M.Z.; Islam, M.T.A compact microstrip line fed tapered-shaped slotted ultra-wideband(UWB) antenna is presented. The new design is composed of a rectangular slotted patch with a compact size of 21.44 × 23.53 mm2 and fed by microstrip transmission line of 50 Ω. The proposed antenna is simulated onto a less expensive FR4 substrate which has a height of 1.6 mm. There achieved a wider bandwidth of 8.51 GHz (3.49-12 GHz) with good impedance matching, constant gain, 5.76 dBi of maximum gain and stable radiation pattern results in the proposed antenna more appropriate for using UWB communication applications compared to existing antennas. The proposed antenna is designed and simulated in HFSS and CST Microwave Studio software to see the antenna performance.Item Structural, Dielectric and Conductivity Studies of Ni-Cu-Cd Ferrite Nanoparticles(IEEE, 2016-10-28) Arifuzzaman, M.; Abden, M.J.; Ahmed, S.K.; Belal Hossen, M.In this study, the nanoparticles (NPs) of Ni0.6Cu0.1Cd0.3Fe2O4 (NCCF) ferrite was successfully synthesized by sol-gel auto combusted process. The effects of temperature and size on the structural, dielectric and conductivity properties of NCCF ferrite nanoparticles were investigated. X-ray diffraction (XRD) analysis of the NPs annealed at 550 and 700 ºC displayed the single phase cubic spinel structure with the particle size of 11 and 17 nm, respectively. The surface morphology of the annealed NCCF ferrite nanoparticles was studied by using field emission scanning electron microscopy (FESEM). Dielectric constant of larger particles shows higher values at low frequency as well as lower dielectric loss tangent. Ac conductivity shows conventional trend with size effects.Item Bomb disposal Robot Discarding explosive through wireless controlled method(IEEE, 2016-10-28) Motaleb, Abdul Kadir Bin; Hoque, Mohammad Busayeed; Hoque, Md. AhsanulBomb disposal robot has been developed by different experts around the world to make an affordable and safe device which will be useful for emergency rescue support. A 6 DOF articulated robotic arm mounted on a moveable base is been developed to help bomb disposal squad to dispose bomb safely from distance. The whole operation of the robot can be performed wirelessly from a computer. DC servo motor is used as actuator of the arm, and the servo is controlled by the PWM signal generated by microcontroller. This report is concerned with the mathematical modeling of a 6 DOF robotic arm along with the methodology of the entire prototype development. Architectural and circuitry development are separately deliberated. Lastly, the performance of the developed robot has been discussed.Item Automated Weather Event Analysis with Machine Learning(IEEE, 2016-10-28) Hasan, Nasimul; Uddin, Md. Taufeeq; Chowdhury, Nihad KarimWeather forecasting has numerous impacts in our daily life from cultivation to event planning. Previous weather forecasting models used the complicated blend of mathematical instruments which was insufficient in order to get higher classification rate. In contrast, simple analytical models are wellsuited for weather forecasting tasks. In this work, we focus on the weather forecasting by means of classifying different weather events such as normal, rain, and fog by applying comprehensible C4.5 learning algorithm on weather and climate features. The C4.5 classifier classifies weather events by building the decision tree using information entropy from the set of training samples. We conducted experiments on LA weather history dataset; from evaluation results, it is revealed that C4.5 classifier classifies weather events with f-score of around 96.1%. This model also indicates that climate features such as rainfall, visibility, temperature, humidity, and wind speed are highly discriminative toward events classification.Item Frequency Domain Linear Prediction-Based Robust Text-Dependent Speaker Identification(IEEE, 2016-10-28) Islam, M. A.Speaker identification is a biometric technique of determining an unknown speaker's identity among a number of speakers using distinguish latent information of uttered speech. Crime investigation, security control, telephone banking and trading, and information reservation are some applications of this technique. Frequency Domain Linear Prediction (FDLP) is a time-frequency-based feature has been derived using 2-D autoregressive model. This feature was constructed from sub-bands short frame energies estimation. FDLP has been used in this study to propose a robust text-dependent speaker identification technique. The clean features were used to obtain speaker behavioural model. Support vector machine has been used to train the proposed method. This presented study was tested in both clean and noisy conditions to validate the method extensively. The proposed method got significant improved performance over all traditional methods performances in noisy conditions. The obtained performance was indicated; the proposed method was very robust to noises and showed consistent performance irrespective to noises.Item GFCC-Based Robust Gender Detection(IEEE, 2016-10-28) Islam, M. A.Gender classification technique is a part of the signal processing comprises with feature extraction and behavioural gender modelling. Fundamental frequency and pitch are mostly used as feature for gender detection due to their unique characteristics in voice source. In this study, Gammatone Frequency Cepstral Coefficient (GFCC)-based robust gender classification method has been presented. This study was accomplished using speech samples from a text-dependent data set. The prototype gender behavioural modelling was done using Gaussian mixture model (GMM) to obtain better performance and only clean signal was used to train the model. The performance of the proposed method was tested under both clean and contaminated conditions. The clean signal was contaminated using nine different noises at a range of signal-to-noise ratios (SNRs) from 0 dB to 10 dB. The obtained performance showed the proposed method was very robust against noise and the average performance at 0 dB SNR was almost 100% for female and 92% for male irrespective to noises. So, it could be said the proposed method performance was almost noise invariant.Item Bio Inspired Cyber Security Architecture for Smart Grid(IEEE, 2016-10-28) Faisal, Muhammad Mostafa Amir; Chowdhury, Muhammad Ariful IslamSmart grid is an advanced and intelligent form of conventional power grid with high fidelity power-flow control, self-healing, and energy reliability using advance computer and communication technologies. The idea of integrating power systems with complex computer communication has introduced serious cyber security concerns as it requires significant dependence on secured communication infrastructures. Because of the wide nature of smart grid, it is very risky to compromise any component of the grid which may lead to serious damage to the electrical infrastructure, energy theft and unnecessary expenditure. Studying various smart grid security architectures, efficient bio-inspired complete security architecture for smart grid is proposed in this work which can be easily implemented in the smart grid without changing any element of its infrastructure. Bio-inspired cyber security architecture for smart grid is developed with discussion on the core elements of the architecture. The threat detection is tested with simulation using popular KDDDump dataset and real time gas pipe line SCADA data.