679 research outputs found

    A Theory of Humanity: Part 2—Conditions for True Universalism

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    The currently used humanity model is chaotic, devoid of logic or coherence. In Part 1 of this two-part paper, we examined human traits of a scientific model in absence of ‘born sinner’ starting point. We demonstrated that the so-called ‘viceroy model’ that is characterized as scientifically sustainable can replace the existing models that are based on fear and scarcity. Part Two of the paper deals with adequate definition of moral campus that conforms to the viceroy model. In this paper, it is shown that the talk of morality or a moral compass is aphenomenal in absence of strict necessary and sufficient conditions. It also follows that natural justice can only be followed after defining the term ‘natural’ with the same scientific rigor as that of the viceroy model. Once these terms are consistently defined, one is well poised to talk about inalienable rights, moral compass, environmental sustainability, and humanity. The immediate consequence of this model is the demonstration that currently used governance models, such as democracy, is inherently implosive and must be replaced with a new model that is in conformance with the scientific definition of ‘natural’. This emerging model is free from inconsistencies and will remain effective as a governance tool that optimizes individual rights and balances with the right of the state as well as a Creator. It is concluded that this model offers the only hope of maximizing individual liberty without compromising universal peace and natural justice. At this point, morality and legality become equivalent to each. The implications of this paper are overwhelming, making all current judicial actions immoral, in essence repudiating the entire Establishment as little more than a mafia entity, bringing back ‘might is right’ mantra, packaged as ‘social progress’. The paper finally shows how a standard that is necessarily and sufficiently universal can become impetus for a true knowledge

    Monthly and Diurnal Variability of Rain Rate and Rain Attenuation during the Monsoon Period in Malaysia

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    Rain is the major source of attenuation for microwave propagation above 10 GHz. In tropical and equatorial regions where the rain intensity is higher, designing a terrestrial and earth-to-satellite microwave links is very critical and challenging at these frequencies. This paper presents the preliminary results of rain effects in a 23 GHz terrestrial point-to-point communication link 1.3km long. The experimental test bed had been set up at Skudai, Johor Bahru, Malaysia. In this area, a monsoon equatorial climate prevails and the rainfall rate can reach values well above 100mm/h with significant monthly and diurnal variability. Hence, it is necessary to implement a mitigation technique for maintaining an adequate radio link performance for the action of very heavy rain. Since we now know that the ULPC (Up Link Power Control) cannot guarantee the desired performance, a solution based on frequency band diversity is proposed in this paper. Here, a secondary radio link operating in a frequency not affected by rain (C band for instance) is placed parallel with the main link. Under no rain or light rain conditions, the secondary link carries without priority radio signals. When there is an outage of the main link due to rain, the secondary link assumes the priority traffic. The outcome of the research shows a solution for higher operating frequencies during rainy events

    Wavelets, its Application and Technique in signal and image processing

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    Wavelets are functions that satisfy certain mathematical requirement and used in representing data or functions. Wavelets allow complex information such as data compression, signal recognition, signal and image processing, music and computer graphics etc. The wavelet decomposition analysis is used most often in wavelet signal processing. It is used in signal compression as well as in signal identification, although in the latter case, reconstruction of the original is not always required. The decomposition separates a signal into components at various scales corresponding to successive octave frequencies. Each component can be processed individually by a different algorithm. In this work we first try to introduce wavelet and then some of its applications and technique in signal and image processing. Here we also approach a new filtering techniqu

    Temporal causality and dynamics of financial development, trade openness, and economic growth in Vector Auto Regression (VAR) for Bangladesh, 1974-2003: Implication for poverty reduction

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    This paper examines whether financial development and openness to international trade can play any positive role in reducing poverty in Bangladesh through their growth enhancing effect. The paper takes granted that growth reduce poverty and makes econometric test to ascertain whether financial development and trade openness cause growth. Standard Granger-causality test is employed for this purpose. Variables are found first difference stationary without having any co-integrating relationship as reported by Johansen co-integration test. As such Granger-causality test is carried out in first difference VAR. The paper does not find any causal relationship between trade openness and growth, and financial development and growth. This implies that financial development and trade openness do not reduce poverty through their effect on growth. However, bi-directional causal link evidenced between financial development and trade openness indicates that these two can contribute to poverty reduction directly through their mutual effect on each other

    A Communitarian Alternative Solution to the Pension Crisis

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    This paper evaluates the economic effects of a politically communitarian model of family ties towards the pension crisis in developing countries. The use of a Canadian - an individualist-oriented political economic pension system - is compared to a religiously and culturally communitarian form of family care in Bangladesh, a country slowly feeling the effects of the pension crisis. The analysis concludes, based on theoretical and economic evidence, that it is not in the social or economic interest of Bangladesh or similar countries to use the same policies currently being deployed by Canada and most other OECD countries. This paper is the first of its kind to apply socioeconomic costs and benefits of developed countries’ policies and apply them to the context of a developing country—keeping in mind the cultural aspect and its implications. It aims at bringing back original ethical and moral values with a social orientation that should inspire all stakeholders to ensure family self-regulation that converge toward a solid foundation of communitarian principles

    Wavelets, its Application and Technique in signal and image processing

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    Wavelets are functions that satisfy certain mathematical requirement and used in representing data or functions. Wavelets allow complex information such as data compression, signal recognition, signal and image processing, music and computer graphics etc. The wavelet decomposition analysis is used most often in wavelet signal processing. It is used in signal compression as well as in signal identification, although in the latter case, reconstruction of the original is not always required. The decomposition separates a signal into components at various scales corresponding to successive octave frequencies. Each component can be processed individually by a different algorithm. In this work we first try to introduce wavelet and then some of its applications and technique in signal and image processing. Here we also approach a new filtering technique
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