Peak Hour Identification for Traffic Congestion Based on IoT Environments

Vasanth Ragu,Saraswathi Sivamani,이명배,조현욱,조용윤,박장우,신창선 한국지식정보기술학회 2018 한국지식정보기술학회 논문지 Vol.13 No.3

This study deals with the analysis of traffic congestion and the peak hour identification by using Kalman Filter and Ensemble Model. There are different types of traffic congestion, Roadway Traffic congestion, Airways Traffic congestion, Network Traffic congestion, and so on. This study focuses on Roadway Traffic congestion. The peak hour identification is essential to prevent roadway traffic congestion. In roadway traffic congestion, there are two categories in traffic data, namely Roadside Equipment (RSE) data and Video Detection System (VDS) data. Both data were collected from RSE devices and VDS devices, which are located in roadways signals, toll plaza, private sectors, and etc. In traffic data, it may contain error values. So, this paper applies the Kalman Filter for the purpose of removing the error values or inaccurate values and providing the cleaned Traffic data. The suggested study also uses the Ensemble Model to average the traffic data at corresponding hours easily to analyse the traffic data. To identify peak hour, it defines four different models by considering numbers, average times, and average speeds of vehicles. With the suggested method, the perfect peak hour in the traffic data can be easily and exactly obtained. In the tests and results, this paper showed the detailed process of peak hour identification in traffic congestion.

Identification of Environmental Factors in Fruit Disease by Logistic Regression

Vasanth Ragu,이명배,이명훈,A.B.M. Salman Rahman,박장우,조용윤,신창선 한국지식정보기술학회 2018 한국지식정보기술학회 논문지 Vol.13 No.5

Plant diseases are one of the most significance issues in agriculture fields. The diseases destroy fruits and are decreased the production rate. They also decrease the economic growth in worldwide and increase the demand about preventing plant diseases. The major cause of plant diseases is climate changes, weather conditions and environmental factors. To prevent the diseases, we need to identify the plant diseases about corresponding environmental factors. In this study, we analysis the plum data and identify the plant diseases with corresponding environmental factors by using Logistic Regression model. The first process is to identify the number of diseases and its type, and then implement Logistic Regression to predict the diseases by using environmental factors as inputs. Finally, we compare the actual value of diseases with predicted value of diseases, and need to check the accuracy of diseases by using correlation method. We also find the environmental factors for the reasons to forms more diseases. In result and discussion, it would be clearly explained about the plum diseases and their environmental factors.

A Greenhouse Control System Based on Best-Fitted PID Controller to Minimize Energy Cost

Vasanth Ragu,이명배,조용윤,박장우,신창선 한국지식정보기술학회 2018 한국지식정보기술학회 논문지 Vol.13 No.1

In these days, many of greenhouse environments are based on electric devices and ICT technologies. The model suggested in the paper the detailed design of a greenhouse control system adaptability with PID (Proportional Integral and Derivative) controller. Compared with a previous greenhouse control system (GCS), the proposed system is focused on the detailed design of greenhouse control process to minimize energy costs for crop growth in a greenhouse. In the suggested system, there are two important processes namely, Greenhouse Control Process (GCP) and Crop Growth Process (CGP). The two process data, which are crop status information and climate set-point information, are stored in an information storage database. The PID controller works inside the GCP and the environment control decision works inside the CGP. According to the service decision algorithm of it, the controller will work properly in a greenhouse. Using the suggested system with the different combinations such as P, PI, PD and PID, a user can easily simulate energy costs for a greenhouse system and efficiently design the best optimized controller in the greenhouse system. Therefore, the suggested system can provide a feasible solution to reduce or minimize energy cost in the greenhouse and help developments of various applications related with greenhouse environments.

An Optimal Model Prediction for Fruits Diseases with Weather Conditions

Vasanth Gagu,이명배,Saraswathi Sivamani,조용윤,박장우,조경룡,조성은,홍기정,오수열,신창선 (사)한국스마트미디어학회 2019 스마트미디어저널 Vol.8 No.1

This study provides the analysis and prediction of fruits diseases related to weather conditions(temperature, wind speed, solar power, rainfall and humidity) using Linear Model and Poisson Regression. The main goal of the research is to control the method of fruits diseases and also to prevent diseases usingless agricultural pesticides. So, it is needed to predict the fruits diseases with weather data. Initially, fruitdata is used to detect the fruit diseases. If diseases are found, we move to the next process and verify thecondition of the fruits including their size. We identify the growth of fruit and evidence of diseases withLinear Model. Then, Poisson Regression used in this study to fit the model of fruits diseases with weatherconditions as an input provides the predicted diseases as an output. Finally, the residuals plot, Q-Q plotand other plots help to validate the fitness of Linear Model and provide correlation between the actual andthe predicted diseases as a result of the conducted experiment in this study.

Non-Linear dynamic pulse buckling of laminated composite curved panels

Vasanth Keshav,Shuvendu N. Patel 국제구조공학회 2020 Structural Engineering and Mechanics, An Int'l Jou Vol.73 No.2

In this paper, non-linear dynamic buckling behaviour of laminated composite curved panels subjected to dynamic in-plane axial compressive loads is studied using finite element methods. The work is carried out using the finite element software ABAQUS. The curved panels are modelled with S4R element and the nonlinear dynamic equilibrium equations are solved using the ABAQUS/Explicit algorithm. The effect of aspect ratio, radius of curvature and thickness are studied. The importance of orientation of plies in the direction of loading is also reiterated in this study. Vol’mir’s criterion is used to calculate the dynamic buckling loads. The panels are subjected to rectangular pulse load of various amplitude and durations and the responses are observed. For particular loading amplitude, a critical value of loading duration is observed beyond which the variation of dynamic buckling load is insignificant. It is also observed that, the value of dynamic bucking load reduces as the loading duration is increased though the reduction is not much after a particular loading duration.

Harvesting Electronic Waste for the Development of Highly Efficient Eco-Design Electrodes for Electrocatalytic Water Splitting

Jothi, Vasanth Rajendiran,Bose, Ranjith,Rajan, Hashikaa,Jung, Chiyoung,Yi, Sung Chul Wiley (John WileySons) 2018 ADVANCED ENERGY MATERIALS Vol.8 No.34

Study of Thermal Comfort Properties on Socks made from Recycled Polyester/Virgin Cotton and its Blends

D. Vasanth Kumar,D. Raja 한국섬유공학회 2021 Fibers and polymers Vol.22 No.3

In this research work, it is proposed to study the thermal comfort properties of socks made from virgin cotton andrecycled polyester fibres and its blends. To determine the thermal comfort properties of socks the following parameters suchas thermal conductivity, thermal resistance, air permeability and relative water-vapour permeability has to be investigated. Amongst the blends, higher the addition of recycled polyester content results in increased air permeability, thermal resistanceand relative water-vapour permeability and decreased thermal conductivity values than the virgin cotton blends. Furthermore,it is noticed that recycled polyester ratio increases among the blends the fabric become thin, lighter and more porous withbetter thermal resistance, air permeability, relative water-vapour permeability and lesser thermal conductivity than the virgincotton ratio in the blends. It is suggested that modifications in the fibre blends lead to changes in the fabric properties such asthickness which in turn affects the comfort properties of socks. The findings were statistically evaluated by analysis ofvariance (ANOVA) by using SPSS 15.0. Statistical result analysis also reveals that the blend ratio significantly affects all ofthe thermal comfort properties of the socks.

Study of neoadjuvant chemotherapy in advanced malignant ovarian germ cell tumors at a tertiary center in western India

Abhilash Vasanth,Shilpa M Patel,Ruchi Arora,Chetana D Parekh,Pariseema Dave,Bijal M Patel,Priyanka Vemanamandhi 대한부인종양학회 2024 Journal of Gynecologic Oncology Vol.35 No.2

Objective: To study clinical characters and outcomes in patients of malignant ovarian germcell tumor (MOGCT) undergoing surger y following neoadjuvant chemotherapy (NACT). Methods: Retrospective study of patients undergoing surger y following NACT for MOGCT atour institute. Platinum based chemotherapy was given in all patients in NACT. Results: Between March 2013 and Februar y 2023, 30 patients had surger y after NACT. Patient’s median age was 22 years (range, 12 to 35 years) and median follow up 42months(range, 6 to 132 months). Majority had endodermal sinus tumor (n=12), dysgerminoma (n=9)and mixed GCT (n=7). All had either International Federation of Gynecology and Obstetrics(FIGO) stage 3 (n=19) or FIGO stage 4 disease (n=11). Complete response to NACT seen in5 patients and 23 patients had partial response. Fertility sparing surger y in 18 patients andcomplete surger y in 12 patients. Suboptimal surger y was seen in 4 patients. Currently, 20of 30 patients are alive and disease free, 3 lost for follow up and 7 patients had progressionafter adjuvant therapy. Five patients had mortality—4 with progression and 1 with bleomycintoxicity. Fifteen of 17 eligible patients have resumed menstruation and one had successfulpregnancy. Prognostic factors noted in study are stage, optimal surger y and viable tumor inhistopathology. Dysgerminoma had better outcome than other histology. Conclusion: NACT may be a reasonable option in patients with extensive unresectable diseaseor in whom fertility sparing is not possible or in the poor general condition. Fertility sparingsurger y can be attempted post neoadjuvant chemotherapy without adversely affecting prognosis.

스마트 전력 기기의 온도 분석에 관한 연구

( Ragu Vasanth ),이명배 ( Myeongbae Lee ),김영현 ( Younghyun Kim ),박명혜 ( Myunghye Park ),이승배 ( Seungbae Lee ),박장우 ( Jwangwoo Park ),조용윤 ( Yongyun Cho ),신창선 ( Changsun Shin ) 한국정보처리학회 2017 정보처리학회논문지. 컴퓨터 및 통신시스템 Vol.6 No.8

전신주와 같은 전력 설비에는 스마트한 서비스를 위한 다양한 종류의 센서가 포함되어 있으며, 온도 정보는 전력 설비의 정상 동작 상태를 판단하는 중요한 요소 중 하나이다. 본 연구에서는 칼만 필터(Kalman Filter)와 앙상블 모델(Ensemble Model)을 이용해 스마트 전력 장치의 상태를 판단할 수 있도록 장치의 온도 분석 방법을 제안했다. 제안 된 접근 방식은 서로 다른 위치에 설치된 센서로 부터 수집된 정보 중 온도 데이터를 분류하고 칼만필터 및 앙상블 모델을 사용하여 온도 변화의 특성을 분석했다. 세부적으로 수집된 온도 데이터로부터 기상 온도 데이터와 같은 외부 인자를 제거하고 전력 장치의 각 위치로부터의 실제 장치의 온도값만을 분석했으며, 이 과정에서 칼만필터를 사용하여 오류 데이터를 제거하고 앙상블 모델을 사용하여 매 시간 정상 동작하는 전력 설비의 온도 평균값을 산출했다. 온도 분석에 대한 결과와 논의는 전력 데이터에 분석 결과에 명확하게 설명되어 있다. 마지막으로, 분석된 데이터를 통해 전력 장치가 정확히 동작하는 지를 판단할 수 있는 온도값의 정상범위를 확인하였다. An electrical power utility, like an electrical power pole, includes various kinds of sensors for smart services. Temperature data is considered one of the important factors that can influence the smart operations of this utility. This study suggests a method for temperature data analysis for deciding the status of the smart electrical power utilities by using Kalman Filter and Ensemble Model. The suggested approach separates the temperature data according to the different positions of the temperature sensors of a utility, then uses Kalman Filter and Ensemble Model to analyse the characteristics of the temperature variation. With detailed processes, method explains the variation between an external temperature factor like weather temperature data and the sensed temperature data, and then, analysis the temperature data from each position of electrical power utilities. In this process, the suggested method uses Kalman Filter to remove error data and the ensemble model to find out mean value of every hour of electrical data. The result and discussion of temperature analysis were described clearly with the analysed results of electrical data. Finally, we were able to check the working condition of the power devices and the range of the temperature data foe each devices, which may help to indicate any causalities with respect to the devices in the utility pole.

Clinical, Cytogenetic and CYP1A1 exon-1 Gene Mutation Analysis of Beedi Workers in Vellore Region, Tamil Nadu

Sundaramoorthy, Rajiv,Srinivasan, Vasanth,Gujar, Jidnyasa,Sen, Ayantika,Sekar, Nishu,Abilash, Valsala Gopalakrishnan Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.12

Background: Beedi rollers are exposed to unburnt tobacco dust through cutaneous and pharyngeal route and it is extremely harmful to the body since it is carcinogenic in nature and can cause cancer during long exposure. This indicates that occupational exposure to tobacco imposes considerable genotoxicity among beedi workers. Materials and Methods: In the present study, 27 beedi workers and age and sex matched controls were enrolled for clinical, cytogenetics and molecular analysis. Clinical features were recorded. The workers were in the age group of 28-67 years and were workers exposure from 8-60 years. Blood samples were collected from workers and control subjects and lymphocyte cultures were carried out by using standard technique, slides were prepared and 50 metaphases were scored for each sample to find the chromosomal abnormalities. For molecular analysis the genomic DNA was extracted from peripheral blood, to screen the variations in gene, the exon 1 of CYP1A1 gene was amplified by polymerase chain reaction (PCR) and then screened with Single Strand Conformation Polymorphism (SSCP) analysis. Results: A statistically significant increase was observed in the frequencies of chromosomal aberrations in exposed groups when compared to the respective controls and variations observed in Exon 1 of CYP1A1(Cytochrome P450, family 1, subfamily A, polypeptide 1) gene. Conclusions: This study shows that, the toxicants present in the beedi that enter into human body causes disturbance to normal state and behavior of the chromosomes which results in reshuffling of hereditary material causing chromosomal aberrations and genomic variations.