This research presents the dynamic performance of the permanent magnet synchronous machines (PMSM) and brushless DC motor (BDCM) fed single phase source with usually starting capacitance circuit and with electronic triac circuit  in closed – loop control and compare these process with the dynamic performance of the (PMSM) and (BDCM) motors with three phase source that are been done. These simulation using simulink with needed adaptation and results lead the machines can be used in modern domestics applications that demand only single phase source and small power. The dynamic performance of PMSM and BDCM motors fed single phase source in closed–loop with electronic starter closes to the dynamic start of these motors with three phase source

Background and Objective: Early pregnancy hormones play an important role in gestational outcome. Most abortions (miscarriages) occur in the first trimester, which require follow-up procedures and specific measures for the next pregnancy. Early detection of a pregnancy and its outcome enables us to assess optimal management for another healthy pregnancy.

Methods: We used decision trees to classify pregnancy hormones, which will detect the final outcome. Based on particular levels of hormones and a patient’s previous history, we can handle the situation in advance. The hormone, human chorionic gonadotropin (HCG), has also been used with decision trees; it is a widely-used model for similar datasets.

Results: The groups into which a pregnancy might fall, based on HCG levels, is defined by Decision Trees. This data mining technique would support the concept of ‘outcome generation,’ which is based on previous data. For example, historic data from two hospitals could be used to classify various patients and their pregnancy’s eventual outcome.

Conclusions: This multi-level classification should help with the diagnosis of many conditions, e.g., a normal pregnancy, an ectopic pregnancy, a molar pregnancy (hydatidiform mole), an intrauterine pregnancy, choriocarcinoma, and Down syndrome

There are different views on the relationship between corporate social responsibility (CSR) and business: by operating with a CSR perspective, proponents believe that companies are capable of making more long term profit and increasing long term success, while the opponents argue that CSR would only distract firms from the economic role of businesses, namely profit generation Both the proponents as well as the opponents present a list of sound rational reasons do defend their viewpoint. Despite the ongoing debate as to whether or not social responsibilities should be the concern of corporate decision makers, it cannot be denied that corporate social responsibility has been increasingly present in today’s world. Research indicates that consumers care about it and that nowadays most consumers expect companies to have fairly high levels of CSR. Consumers are very important stakeholders for companies and the success of a company’s CSR policy is to a large extent determined by these consumers. Hence, understanding them is critical, part of understanding these customers relates to trying to find out why they buy from companies which incorporate social responsibilities into their business practices. Consequently companies try to understand consumers through analyzing what kind of value(s) these consumers derive from CSR, which brings us to the research question of this paper “What is the value of corporate social responsibility for consumers?” The results of this study show that consumers associate CSR most often with the environment. It is also discovered that consumers don’t always recognize the CSR activities of companies as CSR activities. The CSR activities in the product-related activities category seem to be the ones that the respondents most often recognize, while the activities of the philanthropy category are recognized the least. Consumers indirectly indicate that they find CSR important as the activities they perceive as most important for companies to engage in, are also the ones they indicate as being an expression of CSR. This paper tried to contribute to a better understanding of the complex consumer regarding the value they derive from CSR

The paper; discuss the concept of dynamically estimating and building the model process using association rule model, scanning itemsets with their counts and design a novel, efficient, dynamic mining algorithm. Enhancing (ARBSI) will not require rescanning the original database after collecting the data, even if a number of transactions have been newly inserted, and this will work regardless of the support value used and regardless of the confidence value used. Enhancing (ARBSI) can work in both dynamic and conventional form, this is more efficient and will reduce the time when its performance is compared with the previous techniques used, in such away as: It will know the number of items used from the last process after normalization sub-process which will reduce the time for scanning each transaction, It will know the types of modification insert, update, and/or delete, In case there is an new inserted record Enhancing (ARBSI) can translate this record to numeric using dummy table for attribute without duplicate (especially for nominal values)

Due to increasing environmental pollution, green manufacturing processes are being employed in many industries today. Green Manufacturing not only reduces pollution but also contributes to sustainability management.  A survey study was conducted is Oil India Limited, Noonmati, Guwahati, to analyze the impact of GM on the industry. A questionnaire was prepared and the data collected was evaluated using Minitab 16. The impact on the industry after implementing GM was studied and validated using one way analysis of variance, Factor Analysis and cronbach’s alpha

In the present paper an example of effective use of remote sensing data in agriculture is considered. To this end, management considered the problem of soil acidity on agricultural fields. To solve this problem using remote sensing placed on unmanned aerial vehicles. The starting point for solving the problem is a new methodology for estimating the state of the crops and the acid value based on remote sensing data. A feature of the methodology is to construct a quantitative estimate of crop biomass and soil acidity index. This approach differs significantly from the well-known method of determining the vegetation index NDVI (Normalized Difference Vegetation Index). New mathematical models and algorithms for the construction of quantitative estimates are proposed. Soil acidity is controlled by introducing ameliorant containing calcium. They act in the soil from 5 to 8 years. Therefore, the result of the formation of a management strategy for making dosage ameliorant data used crop rotation. To account for the spatial heterogeneity of soil based on the results of evaluation is isolated area with close indicator of acidity. These areas are considered to be homogeneous. Optimal strategies make ameliorant for each homogeneous area is formed. To generate jobs onboard regulators executive machinery of the entire strategy is only used optimal doses making improver for the first year crop rotation. In real time when driving through the field the machine to make ameliorant job-board regulator flow improver is formed as a weighted average value of optimum doses in homogeneous areas of the acid value.

This paper reveals the study related to feasibility of using sustainable material for the stabilized soil brick manufacturing. Mud brick construction is not a new technology. Burnt clay bricks are widely used as a fundamental building material in most countries. However, with rising awareness to reduce carbon footprint and promote sustainable development, earth-making has taken a different path to minimize the environmental impact. Various efforts have been directed to develop, environmental friendly and low-cost bricks, including the use of different binding agents, raw materials and technology. As part of the research effort, a series of trial samples were prepared with three types of stabiliser at different ratios using soil collected from the site. The prepared samples were tested for compressive strength, water absorption and density at the end of 28 days curing period. The test results were then analysed and compared with burnt clay bricks and fly ash bricks. The investigation results show that compressive strength and water absorption of unburnt clay bricks are improved by adding OPC. The report concludes that the soil with less clay content can be stabilised by adding stabilisers which increases its compressive strength and water absorption properties, simultaneously economical viable and environment friendly

With the rapidly increasing of the volume of scientific publications, find quickly the relevant papers for literature review (LR) about specific topic becomes a challenging task for researchers and students. In this vein, a new literature review assistant scheme (LRAS) (1) to evaluate scientific papers relevancy according to discipline and specific topic and (2) to find papers that match a specific research topic for LR is proposed in this work. More specifically, we propose an approach based on text and data mining (TDM) that computes paper index, called Dynamic Topic based Index (DTb Index), takes into account (i) venues impact, (ii) authors and their affiliated institutes impact, (iii) key findings and citations impact and (iv) papers references impact. We also implement efficient search prototype that find papers according to researcher selection parameters and his annotations. The required researcher selection parameters are (i) the main topic of his research, (ii) description of his research, (iii) the title and the keywords of the paper that he plans to provide in the context of his research and for which he needs to make a LR. Based on these parameters, the engine computes the literature corpus radius index (LCR Index) of each paper. The main contribution of LRAS search engine prototype is the fact that the LCR Index takes into account the area of research. We evaluated our proposed scheme and the simulation results show that the proposed scheme outperforms traditional schemes.