DESIGN AND DEVELOPMENT OF ARM BASED EMBEDDED INTELLIGENT PUBLIC TRANSPORT VEHICLE POSITION SYSTEM

With ARM7 as the core, this paper discusses a kind of design of vehicle location system. The new mobile vehicle Positioning architecture and working theory of this system is integrated by a lot of hardware modules such as ARM microprocessor LPC2129 as a control unit to combinative with GPS LR9548 and GSM TC35 modules By the hardware/software co-design, the new mobile vehicle Positioning system can be designed. It explores location solution, map matching and data compress associated with the positioning, shows a pro-gram flowchart and predicts the trend of the vehicle location system in the future and meets the traffic auditing department’s needs about Mobile Vehicle Location. The set up consists of ARM7TDMI core, which is a 32- bit microprocessor, GSM & GPS serves as an important part as it is responsible for Positioning of the Vehicle. ARM7TDMI is an advanced version of microprocessors and forms the heart of the system. GSM operates through SMSs and is the link between ARM processor and centralized unit. This project is used to find the exact Location of the vehicle. GSM is used to inform the user about the exact Location of the vehicle. The information is given on user request in form of SMS. GSM modem can be controlled by standard set of AT (Attention) commands. These commands can be used to control majority of the functions of GSM modem

A Benchmarking Study on Vision-Based Grasp Synthesis Algorithms

In this paper, we present a benchmarking study of vision-based grasp synthesis algorithms, each with distinct approaches, and provide a comparative analysis of their performance under different experimental conditions. In particular, we compare two machine-learning-based and two analytical algorithms to determine their strengths and weaknesses in different scenarios. In addition, we provide an open-source benchmarking tool developed from state-of-the-art benchmarking procedures and protocols to systematically evaluate different grasp synthesis algorithms. Our findings offer insights into the performance of the evaluated algorithms, which can aid in selecting the most appropriate algorithm for different scenarios.Comment: Submitted to International Symposium on Experimental Robotics (ISER) 202

Risk factors for relapse in childhood steroid sensitive nephrotic syndrome

Background: Nephrotic syndrome (NS) generally tends to follow a benign and chronic relapsing course. Relapses are a major problem in children with steroid sensitive NS (SSNS). Objective: To identify the risk factors for frequent relapse (FR) in the first episode childhood SSNS. Methods: This prospective study was conducted in the Government Dharmapuri Medical College Hospital, Tamil Nadu, between July 2013 and January 2016. Children aged 9 months - 12 years with a diagnosis of SSNS (first episode) who came for follow-up for at least 12 months in the pediatric nephrology clinic were included. The enrolled cases were divided into 2 groups: (1) frequent relapser (FR) and (2) infrequent relapser (IFR). 9 factors were studied as possible risk factorsfor relapse. The data collected were analyzed using Chi-square test and Student’s t-test. Results: Of 160 SSNS children, there were 92 (57.5%) cases of IFR and 68 (42.5%) cases of FR. There were 97 males (60.6%) and 63 females (39.4%) with a male to female ratio of 1.5:1. The mean age of presentation was 4.37±2.32 years. The mean time taken to achieve remission during the first episode was 1.94±1.04 weeks. The interval between remission and first relapse was 5.56±4.51 months. Incidence of infection and hypertension was 31.9% and 37.5%, respectively. Risk factors significantly associated with FR were: Time taken to achieveremission during the first episode (>14 days) (p<0.0001), mean duration of interval between remission and first relapse (within 6 months) (p<0.0001), associated infections (p<0.0001) and hypertension (p<0.0001). Age at onset, sex, serum albumin, 24 h urine protein, and azotemia did not influence the FR in our study. Conclusion: More than 14 days to achieve remission during the first episode, relapse within first 6 months, associated infections and hypertension were the factors associated with FRs

Removal of Fatty Acids from Palm Oil Effluent by Combined Electro-Fenton and Biological Oxidation Process

The main objective of this study was to find out a cost-effective treatment methodology for the treatment of palm oil effluent (POE) obtained from a food processing industry. An electro-Fenton pretreatment and biological oxidation has been suggested for the removal of recalcitrant contaminants present in POE. An initial COD of about 6,700 mg/L of POE was subjected to electrolytic degradation for 2 h and subsequently by biological oxidation. The biological oxidation was carried out using Aspergillus niger and Pseudomonas putida in anaerobic condition. Electro-Fenton process removed 48.35% of the COD. Biological oxidation subsequently decreased the COD to 86.12% and BOD to 85.23%. In the combined process, a high reduction in TOC and TN were achieved. Experimental conditions have been optimized and performances of these techniques have been discussed. The treated water can be reused for general and agricultural purposes