Estimation of Queue Length at Signalized Intersection Under Non-Lane Based Traffic Conditions

Excessive queue length is formed at approaches of signalized intersection if demand flow rate exceeds the saturation flow. The analysis of approaching flow at signalized intersections make easier to predict the queue length for avoiding traffic congestion. At congestion level, queue length reaches to maximum, and the traffic flow becomes zero. Measurement of queuing is essential for design and evaluation of traffic flow facilities. The literature review finds various methods for estimating queue length at signalized intersection under homogeneous and heterogenous traffic flow conditions. Traffic flow data was collected at different intersections in Hyderabad city using videography method. The present study determined queue length at approaches of signalized intersection by using the existing methods given in the literature. The results showed the queue length obtained from different methods are failed to match the queue length as observed in the field. Finally, the study developed a multivariable model for predicting queue length by checking the sensitivity of various factors influencing on queue length at the approach of signalized intersections. Further, the model was validated using field data collected at other approaches based on statistical analysis. Statistical evidence confirmed that the queue length estimated from the proposed model well replicates the queue length observed in the field under the given traffic and roadway conditions. The study recommends that the proposed model works well for the signalized intersection operating with a high proportional share (above 30%) of Two-wheeler in the mixed traffic but limited to operating with higher volume conditions

LDPC performance in IEEE802.16e and Telemetry systems

In this thesis there is a detailed note on LDPC codes history and types. There are many standards such as IEEE802.16e, IEEE802.11ad, IEEE802.11n, Telemetry systems etc. use LDPC codec for their implementation. There are simulation models for the physical layers of IEEE802.16e and Telemetry system are developed. Both the simulated models have been analyzed as per the standard speci ed rates and code sizes. For IEEE802.16e the codeword length 'N' varies from 576 to 2304 with six different data rates. In this standard physical layer implementation different modulation schemes are considered such as QPSK, 16-QAM and 64-QAM. Telemetry system is been analyzed for message block lengths of 1024, 4096 with three different rates specified. In this standard physical layer implementation the modulation schemes considered are QPSK and 16-QAM. The decoder used for both standards is Bit- ipping algorithm

Improved Classification of Blockchain Transactions Using Feature Engineering and Ensemble Learning

Although the blockchain technology is gaining a widespread adoption across multiple sectors, its most popular application is in cryptocurrency. The decentralized and anonymous nature of transactions in a cryptocurrency blockchain has attracted a multitude of participants, and now significant amounts of money are being exchanged by the day. This raises the need of analyzing the blockchain to discover information related to the nature of participants in transactions. This study focuses on the identification for risky and non-risky blocks in a blockchain. In this paper, the proposed approach is to use ensemble learning with or without feature selection using correlation-based feature selection. Ensemble learning yielded good results in the experiments, but class-wise analysis reveals that ensemble learning with feature selection improves even further. After training Machine Learning classifiers on the dataset, we observe an improvement in accuracy of 2–3% and in F-score of 7–8%

Acute fatty liver disease of pregnancy-report of two cases from tertiary care centre, Hyderabad

A referral case from Kollampally, Narayanpet, primi past EDD by 2 days, thrombocytopenia and elevated bilirubin levels. EDC-18.09.22, scan EDC- 26.09.22 She had a vaginal septum and a poor Bishop score. During caesarean section, there was atonic post-partum haemorrhage, (PPH). When PPH could not be controlled with medical management, Haymans stitches were applied to control the bleeding. Total she received seventeen units of blood products, (4 FFPS, 1 SDP, 2 PRBC, 10 CRYO). She succumbed on the fourth POD. Fulminant hepatic failure, hepatic encephalopathy, grade 111, oliguric, AKI, thrombocytopenia, coagulopathy, with sepsis. The second case, a 24 years primi, 38 weeks 4 days, jaundice of three days duration, with HELLP? AFLP, thrombocytopenia with poor Bishop score. This case was a referral from SVS medical college, Mahaboob Nagar (MBNR) on 25.10.22, 7.23pm. An emergency LSCS was performed on 26.10. 22, 2.15 am. Blood products 25 units, (1 PRBC, 8 FFP, 6 RDP, 10 Cryo) units transfused. Intra operative blood loss was 1250 ml. Atonic PPH was managed adopting both medical and surgical, methods. An alive male 3200 gm was delivered. Measures taken to control PPH were, misoprostol 800 mcg PR, inj.oxytocin 20 units i.v drip, uterine massage, Inj. Carboprost was given. Modified B Lynch uterine compression sutures were applied. Bilateral uterine artery ligation was done. Abdominal drain kept. AKI, sepsis and increasing bilirubin levels were noted. At OGH two sessions of haemodialysis were done. Patient expired on 28.10.22. Persistent hypoglycemia, elevated bilirubin, low fibrinogen, prolonged PT and INR pointed to a diagnosis of AFLP. 

Groundwater Recharges Technology for Water Resource Management: A Case Study

The irregularity in monsoon has severely affected the water availability at surface and sub-surface systems. Diminishing surface and sub-surface availability has not only decreased the water availability, but it additionally affected the ecosystem and increased disastrous situations like floods and droughts, resulting problems of stress on groundwater recharge. Groundwater recharge is a technique by which infiltrated water passes through the unsaturated region of groundwater and joins the water table. It is based upon soil type, land use land cover, geomorphology, geophysical and climate (viz. rainfall, temperature, humidity etc.) characteristics of a region. Over the years, due to variations in weather pattern and overexploitation of aquifers groundwater recharge has decreased and groundwater level has reduced in the most parts of the country. This has led to severe water deficit problems in several parts of the country. This can be solved by different direct and indirect methods of groundwater recharge technology. This technology can reduce the wastage of water and enhance groundwater availability for uses in different sector like irrigation, domestic and industrial uses

Gene action for quantitative traits through Generation means analysis in sesame (Sesamum indicum)

Understanding the nature of gene action in the breeding material is helpful for breeders in formulating breeder strategy. In order to understand the type of gene action operating in the breeding materials six generation means (P1, P2, F1, F2, BC1 and BC2) from five crosses were used to estimate the genetic effects of yield and some quantitative traits in sesame (Sesamum indicum L.) The analysis showed the presence of additive, dominance and epistatic gene interactions. The additive dominance model was adequate for capsule length in the KMR 108 × JCS 507 and KKS 98049 × IS 562 B crosses. An epistatic digenic model was assumed for the remaining crosses. Duplicate- type epistasis played a greater role than complementary epistasis. The study deciphered that simple additive dominance model exhibited lack of good fit for all the traits in five crosses studied, indicating the role of non-allelic interactions. Dominance and epistatic interactions played a major role in the inheritance of yield and yield contributing characters in sesame. It can be categorically stated that reciprocal recurrent selection or diallel selective mating system are the need of the hour to modify the genetic architecture of sesame for attaining higher yields with desirable oil content

Algebraic service composition for user-centric IoT applications

The Internet of Things (IoT) requires a shift in our way of building applications, as it is aimed at providing many services to society in general. Non-developer people require increasingly complex IoT applications and support for their ever changing run-time requirements. Although service composition allows the combination of functionality into more complex behaviours, current approaches provide support for dealing with one IoT scenario at a time, as they allow the definition of only one workflow. In this paper, we present DX-MAN, an algebraic model for static service composition that allows the definition of composite services that encompass multiple workflows for run-time scenarios. We evaluate our proposal on an example in the domain of smart homes

Performance of SuperSTAT Method of Non Invasive Blood Pressure (NIBP) Measurement Technique at Different Inflation Levels

The purpose of this paper is to analyze the performance of oscillometric based super STAT method which is used to determine automatic Non Invasive Blood Pressure (NIBP). Mainly four target cuff pressures are chosen in the range of 115mmHg to 160mmHg and at each target cuff pressure the NIBP parameters are measured from 10 numbers of subjects which are performed on left and rights hands and recorded. Eventually the correlation graph is plotted for systolic, diastolic, MAP (Mean Arterial pressure) and pulse readings using statistical analysis tools. The results of the correlation plot states that systolic, diastolic and MAP are moderately correlated at low target inflation cuff pressure and in the range of 135mmHg to 160mmHg cuff inflation pressure the correlation is high between left and right hand NIBP determinations. Pulse measurements are highly correlated at all the cuff inflation levels. Thus the super STAT algorithm gains better accuracy over basic oscillometric method of NIBP determination

Evaluating the efficiency of cloud services using modified data envelopment analysis and modified super-efficiency data envelopment analysis

Several cloud services with comparable functionality are now available to customers at different prices and performance levels. Often, there may be trade-offs among different functional and non-functional requirements fulfilled by different cloud providers. Hence, it is difficult to evaluate the relative performances of the cloud services and their ranking based on various quality of service attributes. In this paper, we propose a modified data envelopment analysis and a modified super-efficiency data envelopment analysis for evaluating the cloud services and their efficiencies considering user preferences. We compare these methods of cloud service selection based on sensitivity analysis, adequacy to changes in DMUs, adequacy to support decision making and modeling of uncertainty. The comparison helps customers to choose a cloud service that is most suitable to their requirements and also creates a healthy competition among the cloud service providers