A Study of Performance of SIDBI in the Development of MSMEs in India

The Micro, Small, and Medium-Sized Enterprises (MSMEs) sector has a significant impact on the expansion of the Indian economy. On April 2, 1990, the Indian government formed the Small Industries Development Bank of India (SIDBI) to fulfil the financial, development, and promotion requirements of the MSMEs sector. The SIDBI acts as a nodal organisation, facilitator, and accelerator for the expansion of MSMEs. Secondary sources were used in the research. The majority of the information was taken from the SIDBI Annual Reports. According to the report, the majority of performance ratios and indicators have an upward trend and a positive growth rate, which shows how effectively SIDBI has performed. The bank will undoubtedly achieve new heights in the MSMEs sector over the ensuing years

Call admission control using cell breathing concept for wideband CDMA

This paper presents a Call Admission Control (CAC) algorithm based fuzzy logic to maintain the quality of service using cell breathing concept. When a new call is accepted by a cell, its current user is generally affected due to cell breathing. The proposed CAC algorithm accepts a new call only if the current users in the cell are not jeopardized. Performance evaluation is done for single-cell and multicell scenarios. In multicell scenario dynamic assignment of users to the neighboring cell, so called handoff, has been considered to achieve a lower blocking probability. Handoff and new call requests are assumed with handoff being given preference using a reserved channel scheme. CAC for different types of services are shown which depend upon the bandwidth requirement for voice, data and video. Distance, arrival rate, bandwidth and nonorthogonality factor of the signal are considered for making the call acceptance decision. The paper demonstrates that fuzzy logic with the cell breathing concept can be used to develop a CAC algorithm to achieve a better performance evaluation

Secure Cloud Architecture for Protecting the Software of Space Vehicles

As the number of space vehicles launched into outer space increases over time, the need to determine and counter possible cyber attacks from malicious agents will drastically increase. A potential solution to this problem is to create a cloud architecture that a spacecraft can use for autonomous detection or recovery from cyber attacks when out range of a ground station. For this work, the development of a new cloud architecture for space vehicles is proposed which allows users to control access to information or applications within the system while using the self-healing capabilities of containers. The cloud architecture will first be tested without the use of any containerization to establish a control. Afterwards, experiments will be conducted to test the effectiveness of different proposed security measures such as security vulnerabilities, cyber-hardening of the architecture, and logging. This research will then use qualitative and quantitative metrics, such as a pass or fail test, self-healing time of containers, and the number of vulnerable access points to determine the effectiveness of each of these measures

A multi-objective evolutionary optimisation model for heterogeneous vehicles routing and relief items scheduling in humanitarian crises

In a disaster scenario, relief items distribution is required as early as possible for the disaster victims to reduce the associated risks. For the distribution tasks, an effective and efficient relief items distribution model to generated relief items distribution schedules is essential to minimise the impact of disaster to the disaster victims. However, developing efficient distribution schedules is challenging as the relief items distribution problem has multiple objectives to look after where the objectives are mostly contradictorily creating a barrier to simultaneous optimisation of each objective. Also, the relief items distribution model has added complexity with the consideration of multiple supply points having heterogeneous and limited vehicles with varying capacity, cost and time. In this paper, multi-objective evolutionary optimisation with the greedy heuristic search has been applied for the generation of relief items distribution schedules under heterogeneous vehicles condition at supply points. The evolutionary algorithm generates the disaster region distribution sequence by applying a global greedy heuristic search along with a local search that finds the efficient assignment of heterogeneous vehicles for the distribution. This multi-objective evolutionary approach provides Pareto optimal solutions that decision-makers can apply to generate effective distribution schedules that optimise the distribution time and vehicles’ operational cost. In addition, this optimisation also incorporated the minimisation of unmet relief items demand at the disaster regions. The optimised distribution schedules with the proposed approach are compared with the single-objective optimisation, weighted single-objective optimisation and greedy multi-objective optimisation approaches. The comparative results showed that the proposed multi-objective evolutionary approach is an efficient alternative for finding the distribution schedules with optimisation of distribution time and operational cost for the relief items distribution with heterogeneous vehicles

Childhood Tuberculosis and its Relation with Nutrition: A five Year Retrospective Study

Introduction: Tuberculosis is the sixth leading cause of mortality in Nepal. Childhood tuberculosis consisted 5.54% of newly registered 32,056 cases in 2016-17. Malnutrition is a predictor of tuberculosis and is associated with poorer outcomes. This study evaluates the clinico-epidemiologic profile of childhood tuberculosis and its relation to nutritional status. Methods: This was a retrospective review of 60 cases of tuberculosis admitted over a period of five years. Details regarding demographics, anthropometry, symptomatology and examination findings were retrieved. Diagnosis was categorized as pulmonary, extra-pulmonary and disseminated tuberculosis. Findings of various investigations were noted. Nutritional status of the patients was assessed using the WHO standard charts. Association of malnutrition and anemia with types and severity of tuberculosis was assessed. Results: A total of 60 patients were included in the study. Mean age was 7.9 years (SD = 4.6). The commonest presenting symptom was fever (83.3%) followed by decreased appetite (33.3%) and weight loss (26.7%). Cough was the predominant symptom in pulmonary tuberculosis (45%). Only eight cases were bacteriologically confirmed. Underweight, wasting and stunting were observed in 68.4%, 63.3% and 53.3% of cases respectively. Wasting was significantly associated with severe forms of tuberculosis (p = 0.03). Anemia was present in 89.5% of under five children (p = 0.02). Conclusion: Malnutrition often co-exists in a significant proportion of children with tuberculosis. Diagnosis in resource limited settings heavily relies on clinical suspicion and supporting investigations. Anemia is significantly associated with childhood TB, especially under five children

Cosmological implications of an interacting dark energy model with the matter fields

In this paper, we have studied an interacting dark energy model. We have assumed the gravitational interaction between the matter fields i.e. bewteen barotropic fluid and the dark energy. The dark energy evolution within the framework of spatially homogeneous and isotropic Friedmann-Robertson-Walker space-time. Therefore, we examine the cosmic evolution from the perspective of interacting scenario by selecting a suitable ansatz for the scale factor resulting from a parametrization of Hubble parameter. The evolution of the cosmological parameters are discussed in some details in the considered interacting scenario by calculating parameters and quantities such as deceleration parameter, energy density, pressure, equation of state (EoS) etc. Also, we have performed some cosmological tests and analysis in support of our obtained interacting model. Finally, we reconstruct the potential of the scalar field and refute the refined swampland conjecture using the equation of state of dark energy and the relationship between energy density and pressure with the scalar field and potential, and then thoroughly describe the findings