Tunable magnetic topological insulating phases in monolayer CrI3

Baidya, Santu,Yu, Jaejun,Kim, Choong H. American Physical Society 2018 Physical Review B Vol.98 No.15

Energy Consumption Model for Checkpoint-based Drone Recovery Systems

Sabur Baidya,Hong Min,Bongjae Kim 한국차세대컴퓨팅학회 2022 한국차세대컴퓨팅학회 학술대회 Vol.2022 No.10

With the development of drone-related technology, drones are being used in various fields. Drones with resource-constrained characteristics have a problem with conducting a mission. The recovery process needs a lot of effort and cost. In this paper, we proposed a lightweight checkpoint system to reduce the recovery time and cost. The proposed energy consumption model for checkpoint-based drone recovery systems calculates the energy consumption of the drone according to the checkpoint period. We also confirm that there is an optimal checkpoint period to minimize the energy consumption of the drone.

골프공 궤적 추적을 위한 영상처리 기반의 자동화 시스템

Ranjai Baidya,Hyun-Cheol Park,Zineb Tissir,Sang-Woong Lee 한국차세대컴퓨팅학회 2021 한국차세대컴퓨팅학회 학술대회 Vol.2021 No.05

Tracking a golf ball to visualize its trajectory had previously been done with complex and expensive systems. Those systems are not in the reach of every people. Here we suggest a more straightforward approach for the same purpose but utilizing only golf shots videos. The proposed system uses image processing and a deep neural network model, YOLO (You Only Live Once) V3. To achieve the goal of tracking the golf ball, the YOLO V3 network and Hough transform localize the ball’s initial position and the frame differencing technique tracks the golf ball. Upon implementation of the method to multiple videos, an acceptable result was obtained.

Emergency Exit Signs Detecting Smart Glasses Based on Deep Learning for the Visually Impaired

Ranjai Baidya,Heon Jeong 한국차세대컴퓨팅학회 2022 한국차세대컴퓨팅학회 학술대회 Vol.2022 No.10

Emergency exit signs are crucial during misfortunate events such as fire, earthquakes or even human caused events such as robbery and, bombing. However, these signs are of no use to the visually impaired people. During emergency scenarios, the blind people need to rely on other individuals and sometimes they may even be left helpless. This raises a need for some assistive device that could benefit the visually impaired people during the time of emergency. In this paper, we propose a concept of smart glasses that could be tremendously beneficial to the blind people. These glasses will have camera and headphone speakers embedded to them. The device will be capable of detecting emergency signs using modern deep learning techniques during the times of need and could notify the user regarding the direction where the exit is.

다변량 시계열 예측 개선을 위한 입력 시계열의 약정상화

Ranjai Baidya,Sang-Woong Lee 한국차세대컴퓨팅학회 2022 한국차세대컴퓨팅학회 학술대회 Vol.2022 No.05

Time series forecasting is relevant in many real-world applications. However, most real-world time series data are non-stationary, which means their statistical properties like mean, and variance varies with time. This property of time series is not considered by most modern deep learning forecasting models, causing the distribution of the training and test sets to be different. Eventually, the accuracy of the forecasting model is significantly affected by the distribution shift. To tackle this problem, we suggest a simple solution called 'Pseudo-Stationarizer.’ This block can be used seamlessly alongside pre-existing forecasting models to obtain better forecasts. ‘Pseudo-Stationarizer’ performs differencing on the original time series to make the data weakly stationary and helps in minimizing the distribution shift. Via thorough experimentation, we prove that the usage of the proposed block aids the forecasting models in getting significant improvements in their performance by diminishing the distribution shift and making the time series weakly stationary.

Tracking of Golf Ball using TrackNetV2

Ranjai Baidya(바이디아 런자이),Sang-Woong Lee (이상웅 ) 한국정보과학회 2021 한국정보과학회 학술발표논문집 Vol.2021 No.6

Partial safety factors for retaining walls and slopes: A reliability based approach

GuhaRay, Anasua,Baidya, Dilip Kumar Techno-Press 2014 Geomechanics & engineering Vol.6 No.2

Uncertainties in design variables and design equations have a significant impact on the safety of geotechnical structures like retaining walls and slopes. This paper presents a possible framework for obtaining the partial safety factors based on reliability approach for different random variables affecting the stability of a reinforced concrete cantilever retaining wall and a slope under static loading conditions. Reliability analysis is carried out by Mean First Order Second Moment Method, Point Estimate Method, Monte Carlo Simulation and Response Surface Methodology. A target reliability index ${\beta}$ = 3 is set and partial safety factors for each random variable are calculated based on different coefficient of variations of the random variables. The study shows that although deterministic analysis reveals a safety factor greater than 1.5 which is considered to be safe in conventional approach, reliability analysis indicates quite high failure probability due to variation of soil properties. The results also reveal that a higher factor of safety is required for internal friction angle ${\varphi}$, while almost negligible values of safety factors are required for soil unit weight ${\gamma}$ in case of cantilever retaining wall and soil unit weight ${\gamma}$ and cohesion c in case of slope. Importance of partial safety factors is shown by analyzing two simple geotechnical structures. However, it can be applied for any complex system to achieve economization.

Effects of Hafnium Oxide on Short Channel Effects and DC Analysis for Double Gate Junctionless Transistors

Hitesh Kumar Phulawariya,Achinta Baidya,Reshmi Maity,Niladri Pratap Maity 한국전기전자재료학회 2022 Transactions on Electrical and Electronic Material Vol.23 No.4

In this paper, a silicon based two dimensional (2D) double gate junctionless transistor (JLT) is analyzed for its functional understanding and performance optimization feasibility. The DC characteristics and short channel effects (SCEs) analysis are performed for the proposed JLT structure. JLT with different structural parameter variation like gate length (10-80 nm), oxide thickness (1-5 nm), doping concentration (1 × 10 15 -1 × 10 19 cm -3 ), and raising source and drain thickness are investigated. The eff ect of these parameters and dielectric variation on the threshold voltage, drain current, transconductance, drain induced barrier lowering (DIBL) and subthreshold swing (SS) of the junctionless transistor also evaluated and analyzed. The analysis shows that the threshold voltage of JLT can be tuned by controlling device structural parameters. Further variation in gate oxide shows that JLT with hafnium oxide (HfO 2 ) gives better device characteristics compare to JLTs with silicon nitride (Si 3 N 4 ) and silicon-dioxide (SiO 2 ) . Use of high-k dielectric in gate oxide improves the JLT with respect to DIBL and SS. By choosing the proper channel doping, gate dielectric and their thickness combinations, the desired device characteristics could be obtained for junctionless transistor.

Drone Flight Control Using Object Detection and Tracking

Jun-Yon Kim,Ranjai Baidya,Heon Jeong 한국차세대컴퓨팅학회 2022 한국차세대컴퓨팅학회 학술대회 Vol.2022 No.10

The usage of Unmanned Aerial Vehicles (UAVs) has escalated widely in recent years. The mobility they provide and their capability to be used autonomously has made them applicable to a wide range of fields for both the civilians and the military. However, the flight safety is pivotal during UAV flights for any application and it is necessary that the recently ordained rules are complied with. Ensuring the compliance of such rules and regulations is especially difficult when using these UAVs are used in Autonomous mode. To establish the flight safety and compliance with the regulations, computer vision can be utilized while in autonomous mode. This is predominantly true when the flight is conducted in the proximity of crowds, animals, moving vehicles or when emergency and precision landings need to be performed. To that extent, we present a concept of drone flight control system which utilizes object detection and tracking algorithms.

Rainfall induced instability of mechanically stabilized earth embankments

Roy, Debasis,Chiranjeevi, K.,Singh, Raghvendra,Baidya, Dilip K. Techno-Press 2009 Geomechanics & engineering Vol.1 No.3

A 10.4-m high highway embankment retained behind mechanically stabilized earth (MSE) walls is under construction in the northeastern part of the Indian state of Bihar. The structure is constructed with compacted, micaceous, grey, silty sand, reinforced with polyester (PET) geogrids, and faced with reinforced cement concrete fascia panels. The connections between the fascia panels and the geogrids failed on several occasions during the monsoon seasons of 2007 and 2008 following episodes of heavy rainfall, when the embankment was still under construction. However, during these incidents the MSE embankment itself remained by and large stable and the collateral damages were minimal. The observational data during these incidents presented an opportunity to develop and calibrate a simple procedure for estimating rainfall induced pore water pressure development within MSE embankments constructed with backfill materials that do not allow unimpeded seepage. A simple analytical finite element model was developed for the purpose. The modeling results were found to agree with the observational and meteorological records from the site. These results also indicated that the threshold rainwater infiltration flux needed for the development of pore water pressure within an MSE embankment is a monotonically increasing function of the hydraulic conductivity of backfill. Specifically for the MSE embankment upon which this study is based, the analytical results indicated that the instabilities could have been avoided by having in place a chimney drain immediately behind the fascia panels.