A MOBILE PAYMENT SYSTEM THROUGH INDEPENDENT M-SIGNATURE SERVICE

Nowadays a great number of applications require the use of Electronic Signature (e-signature) and nonrepudiation services such as certified e-mail, contract signing, electronic payment system and etc... The authenticity and integrity generated by e-signature in electronic document is like a handwritten signature in the paper document. The mobile user would be able to use any application that requires an e-signature is called as Mobile Signature (m-signature). Msignature can be created by different ways, such as Server-based signatures, Mobile Signature Service (MSS), Mobile Signature Application Unit (MSAU). But those have several limitations. In this work, we present the implementation of mobile payment system using m- signature service to an insurance company and for a mobile shop

Simulation and Performance Analysis of a Novel Seven-Level Inverter with DC-DC Converter for Photovoltaic System

This paper deals with simulation of PV based single-phase seven level inverter employing maximum power point tracking algorithm. Incremental conductance (INC)is employed in this worknbsp because it has high tracking accuracy at steady state and good adaptability to the rapidly changing atmosphere. A novel dual carrier PWM is employed for the proposed inverter. A detailed study of PV based seven level inverter is carried out in MATLAB/SIMULINK and the performance parameters such as crest factor, peak to average ratio, weighted THD, harmonic spread factor and Distortion factor of the proposed inverter are computed and the results are verified

Targeting Aldehyde Dehydrogenases to Eliminate Cancer Stem Cells in Gynecologic Malignancies

Gynecologic cancers cause over 600,000 deaths annually in women worldwide. The development of chemoresistance after initial rounds of chemotherapy contributes to tumor relapse and death due to gynecologic malignancies. In this regard, cancer stem cells (CSCs), a subpopulation of stem cells with the ability to undergo self-renewal and clonal evolution, play a key role in tumor progression and drug resistance. Aldehyde dehydrogenases (ALDH) are a group of enzymes shown to be robust CSC markers in gynecologic and other malignancies. These enzymes also play functional roles in CSCs, including detoxification of aldehydes, scavenging of reactive oxygen species (ROS), and retinoic acid (RA) signaling, making ALDH an attractive therapeutic target in various clinical scenarios. In this review, we discuss the critical roles of the ALDH in driving stemness in different gynecologic malignancies. We review inhibitors of ALDH, both general and isoform-specific, which have been used to target CSCs in gynecologic cancers. Many of these inhibitors have been shown to be effective in preclinical models of gynecologic malignancies, supporting further development in the clinic. Furthermore, ALDH inhibitors, including 673A and CM037, synergize with chemotherapy to reduce tumor growth. Thus, ALDH-targeted therapies hold promise for improving patient outcomes in gynecologic malignancies

Congestion Control early warning system using Deep Learning

A new approach is proposed to analyze the live crowd and to provide an alert at the time of congestion, over-crowding and sudden gathering of pedestrians in a particular region. This paper proposes a completely software-oriented approach using MATLAB where it uses object detection and object tracking using Faster R- CNN (Region Based Convolutional Neural Network) algorithm where inception model of Google is used as CNN model which is pre-trained. This proposed method gives significant result on proposed dataset and the crowd congestion using Faster R-CNN approach which gives an accuracy of 93.503% at the rate 28 frames per second and the crowd detected video frames are uploaded to cloud storage

IOBR: Interoperable bee-hive routing in a heterogeneous multi-radio network

WiMAX and WiFi are the two proliferating wireless technologies with different physical and Media Access Control (MAC) layers. Today, WiFi radio is present in almost all the devices, and most of the devices are equipped with WiMAX radio. Both these technologies can be utilized, if the devices are equipped with both of them, to improve the performance. To cope up with the scenario, a method for routing in a heterogeneous infrastructure based mesh network is proposed. The heterogeneous network consists of a coordinator node and a subscriber node. In this paper, we assume that the coordinator nodes are equipped with both WiMAX and WiFi radios, whereas, the subscriber nodes need not have WiMAX radio. The protocol used for routing data is based on the bee-hive algorithm, in which the entire network is divided into foraging zones/regions. We propose a technique in which the intra-foraging zone communication happens through WiFi and the nodes across the foraging zone communicate via the coordinator using WiMAX. It is observed through simulations that our technique improves the overall network performance by making use of both the radios efficiently

Study of prevalence and determinants of polycystic ovarian syndrome among adolescent girls in rural area: a prospective study

Background: Polycystic ovarian syndrome (PCOS) is the most frequent endocrinological disorder affecting 5-10% of women in the reproductive age. This prevalence ranging from 2.2% to 26% in adult women from 18-45 year. In a recent study the prevalence of a confirmed diagnosis of PCOS in adolescents aged 10 to 19 years was 5-15%, which increased to 10-22%. When undiagnosed cases with documented symptoms qualifying for PCOS according to NIH (National institute of Health) criteria were included. PCOS is a complex endocrine disorder which is most common in women of reproductive age. PCOS may first present in adolescence, but the incidence of PCOS in adolescence is not known, as diagnostic criteria for PCOS in the adolescent age-group is still not defined, PCOS symptoms tend to overlap with normal pubertal changes making the diagnosis even more challenging. The objective is to study prevalence and symptomatology of polycystic ovary syndrome (PCOS) in adolescent girls.Methods: Prospective Cross sectional study between April 2018 and March 2019. 150 adolescent girls aged 10 to 19 years attending OPD with oligomenorrhea, irregular menstrual cycle, obesity and/or hirsutism were advised for biochemical, hormonal, and ultrasonographic evaluation for diagnosis of PCOS on the basis of Rotterdam's criteria at the Department of Obstetrics and Gynaecology, Krishna Institute of Medical Sciences, Deemed University, Karad, Maharashtra, India.Results: Prevalence of PCOS in the study was 17.33% in the study group.Conclusions: PCOS is increasingly encountered during adolescence, although the overall prevalence is low and evaluation of PCOS in adolescents is challenging. At this age, lifestyle modification is imperative to prevent long-term metabolic and reproductive complications

IOT Cloud Based Real Time Automobile Monitoring System

Smart sensing has had a significant impact on defining our future in recent years. The field of IOT is a recent technical innovation that has caused a change in lifestyle (Internet of things). IoT refers to the internetworking of physical equipment and other items that are equipped with electronics, software, sensors, and network connectivity to allow data to be collected from them. Transportation is a booming industry in India, with the number of vehicles on the road increasing by the day. Monitoring vehicle metrics such as gasoline, temperature, and battery level without having to touch the car is perfect. In this digital age, a digital locking mechanism is desperately needed. When your vehicle is not with you, vehicle tracking is also essential. Here, car tracking is designed using GPS to conveniently locate the user's vehicle. The IoT cloud-based real-time automotive monitoring system is capable of monitoring our vehicle's metrics such as fuel level, battery level, engine temperature, and speed, as well as tracking the driver's alcohol percentage via an Android application. We receive an alert when one of these metrics crosses a certain threshold. Its Smart RFID digital key secures your vehicle even more than keys do. We may save our vehicle documents, driver's licences, insurance copies, and other documents in this project's Android application. Whenever an accident occurs, send a message to trusted people with the location