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Search Results: 1 - 10 of 333 matches for " Jayakumar Palanisamy "
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Health Care Discrimination in HIV Care  [PDF]
Jayakumar Palanisamy, Senthilkumar Subramanian
World Journal of AIDS (WJA) , 2011, DOI: 10.4236/wja.2011.13015
Abstract: Human Immunodeficiency Virus (HIV) infected population is experiencing enormous amount of social discrimination and stigmatization compared to other patients with any other chronic illness. Healthcare setup is not an exception where the HIV infected patients are shuttled from one place to another to get their basic services compared to HIV negative patients. This referral game of manipulation imparts additional stress to the already stressed HIV infected population. The physical and psychological impacts caused by other chronic conditions will be supplemented by social impact in the HIV infected population. This referral game in healthcare can cause the HIV infected to avoid their health seeking behavior and it may bring them back to their high risk activities, which can result in higher mortality/morbidity and failure in prevention and intervention strategies.
Psychosocial Profile of HIV Patients on HAART in Southern India  [PDF]
Jayakumar Palanisamy, Karthikeyan Murugesan, Senthilkumar Subramanian, Uma Devi, Pitchai Chinnapidaran, Rajamahendravarman Vellandi, Inigo Beula
World Journal of AIDS (WJA) , 2011, DOI: 10.4236/wja.2011.14028
Abstract: BACKGROUND: Mortality of HIV/AIDS patients comes down in India after the National Aids Control Organization started providing free Antiretroviral Therapy (ART) since 2004. Madurai ART Center started providing free ART since 2004. Psychosocial profile of this population explored in this study. METHODS: A cross sectional interview conducted during the year 2008 with semi structured questionnaire on HIV positive clients who are on Highly Active Anti-Retro- viral Therapy (HAART) for more than 6 months. Convenience sampling done and totally 433 clients were interviewed with informed consent. RESULTS: Three fourth (73.4%) of the clients know about ART centre through Government Hospitals or Primary Health Centre. Most of the Clients (98.6%) on ART are feels back to normal life or back to near normal life. Pill burden/ Pill fatigue perceived by clients is 4.8%.Discrimination perceived was 8.8% and mostly in their own house or by neighbors, but most of their children (99.2%) were not discriminated as per the clients. Spouse positive rate for the married clients was 61.5% and unmarried in this population was 4.6%. Major or minor psychological problems in this group were 39.7% and attempted suicide was 8.8%. Drug abuse (alcohol and smoking) while started on ART was 40.4% and the current abusers are 7.6%. CONCLUSION: This study supports effectiveness of free ART program and effective case referral from government institutions. High percentage of major or minor psychological problem warrants further exploratory study and may need psychological interventions in this population.
The Legislative Push to Mandate Rules-Based Monetary Policymaking in the US: The Latest Salvo in the Long-Running “Rules versus Discretion” Debate  [PDF]
Vivekanand Jayakumar
Theoretical Economics Letters (TEL) , 2016, DOI: 10.4236/tel.2016.66122
Abstract: US Congressional leaders have recently proposed legislation aimed at forcing the Federal Reserve to implement an instrument rule based monetary policy regime. The avowed rationale is to increase transparency and reduce uncertainty associated with monetary policymaking, and to impose constraints on the US central bank. The proposed legislation would require the Federal Reserve to adopt an interest rate setting rule, preferably a rule based on the standard Taylor Rule. This article examines the theoretical rationale for considering monetary policy rules and provides a critique of the move to legislate the adoption of interest rate setting rules in the US. Specifically, the challenges that the Federal Reserve would encounter if it were required to follow an instrument rule, and the shortcomings of any monetary regime based on the standard Taylor Rule, are detailed in this study. This article also considers the merits of basing a monetary policy regime on a targeting rule instead of an instrument rule, and argues that US policymakers would be better served if they shift their focus towards establishing a clearly defined nominal GDP targeting rule and abandon their efforts to impose operational constraints on the Federal Reserve.
UK Current Account Sustainability in the Post-Brexit Era: Insights from an Intertemporal Current Account Framework  [PDF]
Vivekanand Jayakumar
Theoretical Economics Letters (TEL) , 2017, DOI: 10.4236/tel.2017.72020
Abstract: British voters decided in a June 2016 referendum that they wanted the UK to leave the European Union (EU). The Brexit referendum result represents a critical turning point for the UK and the EU alike, and the decision to exit the bloc is bound to have far-reaching consequences. UK’s persistent current account deficits and its outsized external assets and external liabilities reflect Britain’s deep economic and financial integration with the European Single Market System, and highlight London’s central role as Europe’s financial capital. Unraveling of the symbiotic relationship between the UK and the EU will profoundly impact Britain’s ability to entice foreign investors to fund its current account deficits. Using a rich intertemporal current account framework that incorporates valuation effects, this study examines the potential impact of Brexit on UK’s current account sustainability and on UK’s net foreign debt position. It argues that a “hard Brexit” outcome would imperil UK’s ability to sustain current account deficits. UK’s role as a gateway for non-EU states looking to invest inside EU, and the benefits enjoyed by UK-based financial institutions from the European financial passport system would both be endangered if UK is shutout of the European Single Market system. UK is bound to become far less attractive to foreign investors in such a scenario, and a rapid and painful current account deficit reduction is probable. On the other hand, the study shows that a “soft Brexit” outcome in conjunction with a sustained and orderly depreciation of the pound would actually improve UK’s current account balance and its net foreign debt position.
An Algorithm for Classification of Algal Blooms Using MODIS-Aqua Data in Oceanic Waters around India  [PDF]
Arthi Simon, Palanisamy Shanmugam
Advances in Remote Sensing (ARS) , 2012, DOI: 10.4236/ars.2012.12004
Abstract: Increasing incidences and severity of algal blooms are of major concern in coastal waters around India. In this work an automatic algorithm has been developed and applied to a series of MODIS-Aqua ocean color data to classify and monitor four major algal blooms in these waters (i.e., Trichodesmium erythareum, Noctiluca scintillans/miliaris (green/brown), and Cochlodinium polykrikoides (red)). The algorithm is based on unique spectral signatures of these blooms previously reported by various field sampling programs. An examination of the algorithm results revealed that classified blooms agree very well with in-situ data in most oceanic waters around India. Accuracy assessment based on overall, user’s and producer’s accuracy and Kappa accuracy further revealed that the producer’s/user’s accuracy of the four algal blooms were 100% / 100%, 79.16% / 79.16%, 100% / 80%, 100% / 86.95%, respectively. The Kappa coefficient was 1.01. These results suggest that the new algorithm has the potential to classify and monitor these major algal blooms and such information is highly desired by fishermen, fish farmers and public health officials in this region. It should be noted that coefficients with the new algorithm may be finetuned based on more in-situ data sets and the optical properties of these algal blooms in oceanic waters around India.
Spectral Models for Improving Atmospheric Correction Results in Complex Oceanic Waters around India  [PDF]
Palanisamy Shanmugam, Muniyandi Tholkapiyan
Advances in Remote Sensing (ARS) , 2013, DOI: 10.4236/ars.2013.22007

Atmospheric correction over turbid and productive waters continues to be problematic and often results in excessive errors in retrieved water-leaving radiance and bio-geo-physical products. This may be likely due to overestimation of La + Lra (atmospheric signal due to aerosol and Rayleigh scattering) in the visible and thus reduction in Lw which appears as an elevated pigment concentration. Spectral models for reconstructing the atmospherically distorted data are developed and their results are thoroughly validated with in-situ data from a wide range of waters. Good agreement was found between the retrieved products and in-situ data. Our results indicate that the new spectral models have the potential to improve the accuracy of ocean colour retrievals in optically complex waters, and can become an important part of the processing of data from ocean colour sensors (e.g., Ocean colour monitor OCM2) with only two near-infrared bands (i.e., 765 and 865 nm).

High Speed and Low Power Architecture for Network Intrusion Detection System  [PDF]
Palanisamy Brindha, Athappan Senthilkumar
Circuits and Systems (CS) , 2016, DOI: 10.4236/cs.2016.78115
Abstract: The tremendous growth in the field of modern communication and network systems places demands on the security. As the network complexity grows, the need for the automated detection and timely alert is required to detect the abnormal activities in the network. To diagnose the system against the malicious signatures, a high speed Network Intrusion Detection System is required against the attacks. In the network security applications, Bloom Filters are the key building block. The packets from the high speed link can be easily processed by Bloom Filter using state- of-art hardware based systems. As Bloom Filter and its variant Counting Bloom Filter suffer from False Positive Rate, Multi Hash Counting Bloom Filter architecture is proposed. The proposed work, constitute parallel signature detection improves the False Positive Rate, but the throughput and hardware complexity suffer. To resolve this, a Multi-Level Ranking Scheme is introduced which deduces the 13% - 16% of the power and increases the throughput to 23% - 30%. This work is best suited for signature detection in high speed network.
Wrapped Skew Laplace Distribution on Integers:A New Probability Model for Circular Data  [PDF]
K Jayakumar, Sophy Jacob
Open Journal of Statistics (OJS) , 2012, DOI: 10.4236/ojs.2012.21011
Abstract: In this paper we propose a new family of circular distributions, obtained by wrapping discrete skew Laplace distribution on Z = 0, ±1, ±2, around a unit circle. In contrast with many wrapped distributions, here closed form expressions exist for the probability density function, the distribution function and the characteristic function. The properties of this new family of distribution are studied.
Secure Multicast Tree Construction Using Bacterial Foraging Optimization (BFO) for MANET  [PDF]
Arthi Arumugam, Chinnappan Jayakumar
Circuits and Systems (CS) , 2016, DOI: 10.4236/cs.2016.713342
Abstract: In Mobile Ad-Hoc Networks (MANET), the group communication for multiple senders and receivers threatens the security features. The multicasting is provoked to various security attacks, eavesdropping etc., hence secure multicasting requires imperative significance. The secure multicast tree construction using Bacterial Foraging Optimization (BPO) algorithm is proposed to develop a secure multicast tree construction in MANET. During routing, the proposed algorithm utilizes the public routing proxy to hide identity of the sender and receiver from other nodes for maintaining confidentiality. The public routing proxy is estimated using bacterial foraging optimization algorithm and path reliability is evaluated after the each iteration. Path reliability enhances the security of the network from black hole attacker and DoS attackers compared to traditional approaches for secure multicast tree formation in MANETs. By simulation results, we have shown that the proposed technique offers authentication and confidentiality during secure multicasting which is compared to conventional multicast tree formation algorithms in MANETs.
An Optical Model for the Remote-Sensing of Absorption Coefficients of Phytoplankton in Oceanic/Coastal Waters  [PDF]
Surya Prakash Tiwari, Palanisamy Shanmugam
Advances in Remote Sensing (ARS) , 2012, DOI: 10.4236/ars.2012.12003
Abstract: A new model for the remote sensing of absorption coefficients of phytoplankton aph (λ) in oceanic and coastal waters is developed and tested with SeaWiFS and MODIS-Aqua data. The model is derived from a rela-tionship of the remote sensing reflectance ratio Rrs (670)/Rrs (490) and aph (490) and aph (670) (from large in-situ data sets). When compared with over 470 independent in-situ data sets, the model provides accurate retrievals of the aph (λ) across the visible spectrum, with mean relative error less than 8%, slope close to unity and R2 greater than 0.8. Further comparison of the SeaWiFS-derived aph (λ) with in-situ aph (λ) values gives similar and consistent results. The model when used for analysis of MODIS-Aqua imagery, provides more realistic values of the phytoplankton absorption coefficients capturing spatial structures of the massive algal blooms in surface waters of the Arabian Sea. These results demonstrate that the new algorithm works well for both the coastal and open ocean waters observed and suggest a potential of using remote sensing to provide knowledge on the shape of phytoplankton absorption spectra that are a requirement in many inverse models to estimate phytoplankton pigment concentrations and for input into bio-optical models that predict carbon fixation rates for the global ocean.
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