1,220 research outputs found

    DigiMindReady: Enhancing Military Readiness through Edge AI-Driven Wellness, Education, and Digital Discipline via Privacy-First mHealth Innovation

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    Military personnel often find themselves in intense situations that require high focus. Successfully engaging in these dangerous missions means they must efficiently control cognitive load, manage overwhelming stress, and stay focused through distractions to perform at their best. Military training significantly focuses on human performance, which benefits military readiness. The 21st century has introduced unanticipated challenges to all, such as the adverse effects of excessive screen time, external distractions, and over-reliance on technology without being aware of digital discipline. Militaries are no exception. These challenges have become an emerging threat to military personnel\u27s cognitive, emotional, and physical well-being. On top of existing issues like anxiety and emotional stability, these challenges undermine their readiness and operational effectiveness and decrease their quality of life. A strategic investigation into these issues and the advancement of effective tools to address these challenges in the military context are called for to improve digital mind readiness. This research introduces DigiMindReady, a mobile health (mHealth) application system framework pioneered to counteract these effects through edge AI-driven personalized features, education, and digital discipline innovations. DigiMindReady proposes a tailored solution that operates entirely offline to ensure security, featuring a collection of functionalities to promote digital wellness, enhance learning, and maintain operational readiness without compromising security. The application\u27s main features include personalized wellness recommendations, a digital education hub with daily educational push, screen time management, and a digital rewards system to encourage healthy digital habits. These features collectively promise to support military preparedness

    Special and differential treatment in the WTO: Its content and competence for facilitation of development

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    Trade has inherent economic virtue, which is thought to be an important mechanism for the development of the world. The World Trade Organisation (WTO) tries to  introduce a new era of global economic cooperation through a fairer and more open multilateral trading system for the benefit and welfare of the people of its Members. Considering these facts, this trading system strives to introduce a principle where the conduct of international trade is based on cooperation rather than competition. The simple reason is that participating trading members are unequal and there  cannot be any fair competition among unequal competition under identical  conditions. Therefore, the Agreements of the WTO recognize the link between trade and development and contain special provisions for developing countries to combat the growing global economic challenges. These Agreements contain provisions which give developing countries special rights. These are called ‘Special and Differential Treatment’ (SDT) provisions. Special and differential treatments for developing countries allow justifiable deviation from obliging the basic principle of WTO i.e. the Most Favored Nation’s (MFN) treatment. Research and discourse on SDT shows two types of purposes are seen for SDT directed at developing countries: to help development and to help the international system by easing the integration of developing countries into it. This paper will give most emphasis on the development agendas of developing countries because the purpose of SDT as to help developing countries integrate into the trading system is based on an assumption that an effective regulatory system is itself an important tool for development, and as such need not be considered a separate purpose.Key words: World Trade Organisation, International Economic Law, Development, SD

    Rural consumers' adoption of CRM in a developing country context

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    This paper illustrates how understanding consumer preferences through market research may enhance CRM adoption among the rural customers of a developing country like Bangladesh. It presents the case of Community Information Centre (CIC) established by Grameenphone, a company owned by Telenor, the Norwegian telecommunications company and Grameen Bank, the Nobel prize winning micro credit organisation in the rural settings of Bangladesh. The paper shows that CIC is an innovative way of building and maintaining customer relationships and technological interface with the financially constrained consumers in a poor developing economy like Bangladesh

    Socio-demographic Determinants of Child Malnutrition Age 0-5 years in Bangladesh: NB and ZINB Approaches

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    Although child malnutrition is improving over the world in the last couple of decades, still now it is concerning issue among the developing countries including Bangladesh. In general, malnutrition is a dichotomous response variable fitted with logistic regression model. But in this study, counting number of malnourished children in each household is defined as response variable. UNICEF with co-operating Bangladesh Bureau of Statistics (BBS) conducted Multiple Indicator Cluster Survey (MICS) covering 64000 households in Bangladesh by using two stage stratified sampling technique, where 21000 households have children age 0-5 years. We use bivariate analysis figuring out significant association between target and socio-demographic predictor variables. Then Negative binomial regression model is used over poisson regression model due to arising over-dispersion problem (variance>meanvariance > mean). Zero inflated negative binomial model also is applied for the excess of zeros in the target variable. Considering standard error and significant level of individual factors NB model provides better result as compare to ZINB

    General banking system of Uttara Bank Ltd.

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    This internship report is submitted in a partial fulfillment of the requirements for the degree of Master of Business Administration,2014.Cataloged from PDF version of Internship report.Includes bibliographical references (page 30).Uttara Bank LTD was established in 1965 under the name of “Eastern Banking Corporation Limited” with the specific objective of accelerating trade and investment in the economically depressed eastern wing of the than Pakistan. After liberation of Bangladesh the Bank underwent a major change namely, it was nationalized in March, 1972 and given the name “Uttara Bank”. The Bank again in 1983 was denationalized and made a commercial bank in the private sector under the name “Uttara Bank Limited.” Banks and other financial institutions play a vital role in forecasting the economic and social condition of a country. Banks in Bangladesh now constitutes the core of the country’s organized financial system. The main tusk is to mobilize funds from surplus economic unit and deployment it to deficit economic unit and UBL is doing that successfully from its establishment. Customer satisfaction is very important for the reflections of the succession toward progress and expansion for any service institution. Excellence in customer service helps an organization to build a good position in the market and retain more customers. To keep the customers satisfied, UBL provides various types of service to its customers. UBL Principal Branch has three departments. These are: General Banking Department, Foreign Exchange Department and Credit Department. Through these three departments they serve their customers. General banking department provides service to the customers by doing the elementary tasks of the bank. This department has three sections: Main Cash with Cash Cell; Deposit Section i.e. Savings, Current deposit, FDR, SNTD; Clearing; Bills; Accounts; Sanchaypotra, These elementary tasks include account opening, providing master credit card, internet banking, offering different types of schemes to the customers, different types of bills and fees collection etc. Foreign Exchange department also play vital role by providing service to the customers. This department has three sections. These are: Export section, Import section and Foreign Remittance section. All these three sections Foreign Exchange department provides services to its customers. Credit department has three sections i.e. General Loan, Industrial Loan and Loan Recovery. Foreign exchange is an important department of Uttara Bank Limited, which deals with import, export and foreign remittances. It bridges between importers and exporters. This department is playing an important role in enhancing export earnings, which aids economic growth and in turn it helps for the economic development. On the other hand, it also helps to meet those goods and service, which are most demandable and not adequate in our country. Uttara Bank Limited is operating efficiently with its existing products and services. In service-oriented industry, it is very difficult to set a standard rule to satisfy the customer. Several factors shape up the decision of taking the service from an organization. The services which the Bank provides to their clients are very prompt and quality one compare to other private or foreign banks. The bank made satisfactory progress in all areas of business operation. So Uttara Bank Limited is the bank which will go on in the banking sector of the world with their slogan " Abohoman Banglar Oitijje Lalito”.Md. Imrul Hasan MehediM. Business Administratio

    Lossless and low-cost integer-based lifting wavelet transform

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    Discrete wavelet transform (DWT) is a powerful tool for analyzing real-time signals, including aperiodic, irregular, noisy, and transient data, because of its capability to explore signals in both the frequency- and time-domain in different resolutions. For this reason, they are used extensively in a wide number of applications in image and signal processing. Despite the wide usage, the implementation of the wavelet transform is usually lossy or computationally complex, and it requires expensive hardware. However, in many applications, such as medical diagnosis, reversible data-hiding, and critical satellite data, lossless implementation of the wavelet transform is desirable. It is also important to have more hardware-friendly implementations due to its recent inclusion in signal processing modules in system-on-chips (SoCs). To address the need, this research work provides a generalized implementation of a wavelet transform using an integer-based lifting method to produce lossless and low-cost architecture while maintaining the performance close to the original wavelets. In order to achieve a general implementation method for all orthogonal and biorthogonal wavelets, the Daubechies wavelet family has been utilized at first since it is one of the most widely used wavelets and based on a systematic method of construction of compact support orthogonal wavelets. Though the first two phases of this work are for Daubechies wavelets, they can be generalized in order to apply to other wavelets as well. Subsequently, some techniques used in the primary works have been adopted and the critical issues for achieving general lossless implementation have solved to propose a general lossless method. The research work presented here can be divided into several phases. In the first phase, low-cost architectures of the Daubechies-4 (D4) and Daubechies-6 (D6) wavelets have been derived by applying the integer-polynomial mapping. A lifting architecture has been used which reduces the cost by a half compared to the conventional convolution-based approach. The application of integer-polynomial mapping (IPM) of the polynomial filter coefficient with a floating-point value further decreases the complexity and reduces the loss in signal reconstruction. Also, the “resource sharing” between lifting steps results in a further reduction in implementation costs and near-lossless data reconstruction. In the second phase, a completely lossless or error-free architecture has been proposed for the Daubechies-8 (D8) wavelet. Several lifting variants have been derived for the same wavelet, the integer mapping has been applied, and the best variant is determined in terms of performance, using entropy and transform coding gain. Then a theory has been derived regarding the impact of scaling steps on the transform coding gain (GT). The approach results in the lowest cost lossless architecture of the D8 in the literature, to the best of our knowledge. The proposed approach may be applied to other orthogonal wavelets, including biorthogonal ones to achieve higher performance. In the final phase, a general algorithm has been proposed to implement the original filter coefficients expressed by a polyphase matrix into a more efficient lifting structure. This is done by using modified factorization, so that the factorized polyphase matrix does not include the lossy scaling step like the conventional lifting method. This general technique has been applied on some widely used orthogonal and biorthogonal wavelets and its advantages have been discussed. Since the discrete wavelet transform is used in a vast number of applications, the proposed algorithms can be utilized in those cases to achieve lossless, low-cost, and hardware-friendly architectures
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