surendra shrestha

The Internet of Things (IoT) connects numerous sensor nodes and devices, resulting in an increase in the bandwidth and data rates. However, this has led to a surge in data-hungry applications, which consume significant energy at battery-limited IoT nodes, causing rapid battery drainage. As a result, it is imperative to find a reliable solution that reduces the power consumption. A power optimization model utilizing a modified genetic algorithm is proposed to manage power resources efficiently and reduce high power consumption. In this model, each access point computes the optimal power using the modified genetic algorithm until it meets the fitness criteria and assigns it to each cellular user. Additionally, a weight-based user-scheduling algorithm is proposed to enhance network efficiency. This algorithm considers both the distance and received signal strength indicator (RSSI) to select a user for a specific base station. Furthermore, it assigns appropriate weights for the distance...

An optimization method that provides quick response using artificial immune system is proposed and is applied to a mobile robot for trajectory tracking in this paper. The study focuses on the immune theory to derive a quick optimization method that puts emphasis on immunity feedback using memory cells by the expansion and suppression of the test group rather than to derive a specific mathematical model of the artificial immune system. Various trajectories were selected to evaluate the performance of the proposed artificial immune system. The global inputs to the mobile robot are reference position and reference velocity, which are time variables. The global output of mobile robot is a current position. The tracking controller makes position error to be converged to zero. In order to reduce position error, compensation velocities on the track of trajectory are necessary. Input variables of fuzzy are position errors in every sampling time. The output values of fuzzy are compensation v...

Enhancement of Cultural Heritage such as historical images is very crucial to safeguard the diversity of cultures. Automated colorization of black and white images has been subject to extensive research through computer vision and machine learning techniques. Our research addresses the problem of generating a plausible colored photograph of ancient, historically black, and white images of Nepal using deep learning techniques without direct human intervention. Motivated by the recent success of deep learning techniques in image processing, a feed-forward, deep Convolutional Neural Network (CNN) in combination with Inception- ResnetV2 is being trained by sets of sample images using back-propagation to recognize the pattern in RGB and grayscale values. The trained neural network is then used to predict two a* and b* chroma channels given grayscale, L channel of test images. CNN vividly colorizes images with the help of the fusion layer accounting for local features as well as global fe...

This study aimed to develop magnetic Fe3O4/sugarcane bagasse activated carbon composite for the adsorption of arsenic (III) from aqueous solutions. Activated carbon (AC) was prepared from sugarcane bagasse by chemical activation using H3PO4 as an activating agent at 400 °C. To enhance adsorption capacity for arsenic, the resultant AC was composited with Fe3O4 particles by facile one-pot hydrothermal treatment. This method involves mixing the AC with aqueous solution of iron (II) chloride tetrahydrate, polyvinyl pyrrolidone (PVP), and ethanol. Batch adsorption experiments were conducted for the adsorption of As (III) onto the composite. The effects of pH, adsorbent dosage, and contact time on the arsenic adsorption were studied. The result showed that the composite could remove the arsenic from the water far more effectively than the plain AC. The highest percentage of arsenic removal was found at pH at 8, adsorbent dose of 1.8 g/L, and contact time of 60 min. Langmuir and Freundlich...

 Bandwidth requirement prediction is an important part of network design and service planning. The natural way of predicting bandwidth requirement for existing network is to analyze the past trends and apply appropriate mathematical model to predict for the future. For this research, the historical usage data of FWDR network nodes of Nepal Telecom is subject to univariate linear time series ARIMA model after logit transformation to predict future bandwidth requirement. The predicted data is compared to the real data obtained from the same network and the predicted data has been found to be within 10% MAPE. This model reduces the MAPE by 11.71% and 15.42% respectively as compared to the non-logit transformed ARIMA model at 99% CI. The results imply that the logit transformed ARIMA model has better performance compared to non-logit-transformed ARIMA model. For more accurate and longer term predictions, larger dataset can be taken along with season adjustments and consideration of long...

Digital filters are extensively used in the world of communication. In order to design a digital finite impulse response (FIR) filter that satisfies all the required conditions is challenging. In this paper, design techniques of digital low pass FIR filters using Rectangular window method, Hamming window, Hanning window, and Optimal Parks McClellan method are presented. The stability, number of components required and filter coefficients are demonstrated for different design techniques. It is demonstrated that filter design using hamming window is comparatively better than rectangular and hanning window though the components required for all of the windowing technique are same, hamming shows higher stability. The stability is shown with the help of magnitude and phase spectrum of each window. Simulation is carried out using MATLAB and comparisons are made entirely based on the output of the simulation.

The nanosize silicon oxide aperture on the cantilever array has been successfully fabricated as a near-field optical probe. Various semiconductor processes were utilized for sub-wavelength size aperture fabrication. The anisotropic etching of the Si substrate by alkaline solutions followed by anisotropic crystal orientation-dependent oxidation, anisotropic plasma etching and isotropic oxide etching was carried out. The 3 and 4 micron size dot arrays were initially photolithographically patterned on the frontside of the Si[100] wafer. After fabrication of the V-groove shape by anisotropic TMAH etching, the oxide growth at 1000°C was performed to have an oxide etch-mask. The oxide layer on the Si[111] plane has been utilized as an etch mask for plasma dry etching and water-diluted HF wet etching for nanosize aperture fabrication. The Au thin layer was deposited on the fabricated oxide nano-size aperture on the cantilever array. The (5×1) NSOM array with 130 nm metal aperture was successfully fabricated.

The nearfield optical probe array was fabricated using various microfabrication techniques such as isotropic etching of Si, silicon oxide and silicon nitride in addition to anisotropic etching of Si using alkaline solution. The nanosize oxide aperture was fabricated using diluted hydrofluoric acid solution and the nanosize oxide aperture with 100 nm diameter on the cantilever array was metal coated using

Recently there have been tremendous interests about single molecule trapping and characterization using nearfield optical technique. In order to manipulate and trap single molecule such as DNA, the trapping volume has to be significantly smaller than the normal optical trapping with laser beam. The evanescent field can provide the tiny trapping volume and can successfully trap single molecules. The nanosize

The world's unique geographical, multilingual, multiethnic, multiracial and multi religious Himalayan country Nepal has more than 100 years history on telephony service and it has been formulating appropriate policy and regulation for the adoption of new technology, introducing the competitive market environment for the overall development of Information and Communication Technology (ICT) infrastructures and application of ICT service and tools for socioeconomic transformation. The Nepalese market seems to be continuously growing and having huge demand of mobile telephony and internet subscriptions trend. The ICT infrastructure development in difficult geographical area is quite challenging and thus operators are focusing mobile telephony and mobile internet services. Nepal has been doing its best effort on formulating policy and regulation, adoption key strategies for ICT sector development and at the same time joining hands with international and regional bodies such as ITU, SAARC etc for ICT sector development. Due to geographical diversity, policy and regulatory barriers in some extent, power supply constraints and low affordability from customers on ICT tools and services, Nepal has been facing challenges on ICT infrastructure development. However, the national statistics on ICT, Networked Readiness Index and ICT Development Index show that Nepal has done quite good progress and is keeping its pace on ICT development despite the these challenges. Moreover, there seems to be quite uncovered market segments on internet service and big opportunity on ICT sector development in Nepal in the days to come.