Archives-June... 

This is the study to evaluate the performance of new design of biogas unit and to enhance the biogas production by using different parameters. The raw material to be fed in digester will be the food waste which gets generated everyday from restaurant full of crowd in the locality. With this unit, biogas equivalent to two kg of LPG can be generated from the feeding of approximately 15 kg of food waste every day. This is the only design available which allows the user to choose how much biogas pressure he wants. Biogas thus produced can be checked for quality by different inoculums and additives. Thus the cost of disposing the food waste can be saved and the energy can also be recreated and reutilized for restaurant benefits. Hence the atmospheric contamination automatically gets prevented.

Pain is an unpleasant sensory and emotionaly associated with actual or potential tissue damage. Pain acts as a warning signal against either in the body or in the external environment of an individual. Pain control is a major issue in dental practice. There are several types of medications that are used to manage dental diseases. The medications discussed in this article have pharmacological properties that are used to treat conditions such as pain, anxiety and inflamation.

Internet of Things (IoT) is a significant idea of another innovation era. It is a dream that allows the sensors or implanted gadgets to be interconnected over the Internet. The up and coming IoT will be significantly exhibited by the tremendous amount of heterogeneous organized installed gadgets that create seriously "Huge information". Immensely a lot of information is being gathered today by numerous associations and in a persistent raise. It ends up being computationally wasteful to break down such gigantic information. The amount of the accessible crude information has been developing an exponential scale. In an enormous database, the important data is covered up. The new grew Big information methods can deal with numerous difficulties that face information investigation and can remove profitable data. This study demonstrates the investigation of IoT and Big information. The study talks about Big information on IoT and how it is made. Numerous IoT existing, future application and an assortment of IoT advances whether wired or remote are seen. Difficulties and procedures that fathom these issues are talked about and the design of IoT is watched.

This paper organized as such: In the first section authors mention about all aspects of cloud computing – basic definitions, benefits, important features, workability and application, and so on. In the second section of this paper, authors mention Microsoft decisions about applying of cloud computing onto their newest products, such as Azure OS. In the third section of this paper, authors reveal new innovative algorithm for overcoming malfunctions and spyware actions from cloud platforms and resources. In this section, they purpose a new adaptively reduced-order extended Kalman filter for using as an estimator and predictor in cloud platforms. Authors claim that, if this algorithm were implemented on cloud gateways and resources, cloud service providers were able to track and trace lots of spyware and Trojans and also predict and estimate amount of power consumptions.

In this letter, the fractional modified decomposition method has been implemented for solving nonlinear sine-Gordon equation of fractional order. The fractional derivatives are described in the Caputo sense. In these schemes, the solution constructed in power series with easily computable components. The method is powerful tool for obtaining analytic and approximate solutions for different types of fractional differential equations.

As an academic discipline, business ethics emerged in the 1970s. Since no academic business ethics journals or conferences existed, researchers published in general management journals, and attended general conferences. Over time, specialized peer-reviewed journals appeared, and more researchers entered the field. Corporate scandals in the earlier 2000s increased the field's popularity. As of 2009, sixteen academic journals devoted to various business ethics issues existed, with Journal of Business Ethics and Business Ethics Quarterly considered the leaders. Business ethics (also corporate ethics) is a form of applied ethics or professional ethics that examines ethical principles and moral or ethical problems that arise in a business environment. It applies to all aspects of business conduct and is relevant to the conduct of individuals and entire organizations. Business ethics has both normative and descriptive dimensions. As a corporate practice and a career specialization, the field is primarily normative. Academics attempting to understand business behavior employ descriptive methods. The range and quantity of business ethical issues reflects the interaction of profit-maximizing behavior with non-economic concerns. Interest in business ethics accelerated dramatically during the 1980s and 1990s, both within major corporations and within academia. For example, today most major corporations promote their commitment to non-economic values under headings such as ethics codes and social responsibility charters. Adam Smith said, "People of the same trade seldom meet together, even for merriment and diversion, but the conversation ends in a conspiracy against the public, or in some contrivance to raise prices.

Rough Set Theory provides a formal framework for data mining. Feature Selection or Attribute Reduction is a preprocessing step in data mining, and it is very effective in reducing dimensionality, reducing irrelevant data, increasing learning accuracy and improving comprehensibility. The fuzzy-rough feature selection algorithm was used to handle the continuous real-valued data as well as to handle noisy data. It was implemented by standard fuzzification techniques enabling linguistic labels to be associated with attribute values. It also provides uncertainty modeling by allowing the possibility of the membership value to more than one fuzzy label. In this paper, we use an Improved Quickreduct algorithm by redefining the lower and upper approximations based on fuzzy set theory. The membership degrees of feature values to fuzzy sets are exploited in the process of dimensionality reduction. The experiments are carried out on public domain datasets available in UCI machine learning repository and real Tuberculosis data set.

The contributions of different covering materials used on internal building surfaces including walls, ceilings and floors to indoor radon concentration in 36 buildings were measured using an active electronic device, the Safety Siren Pro Series 3 Radon Detector (Model HS71512). The three commonest combinations of covering materials in Ogbomoso are (A): paint, paint, carpet; (B): paint, fibre board, plastic tile; (C): paint, fibre board, ceramic tile. The buildings with combination (C) contributed the highest to the indoor radon concentration in buildings investigated in Ogbomoso while buildings with combination (A) contributed the least. The mean value for combinations (B) and (C) were found to be slightly greater than the world average of 40 Bqm-3 (UNSCEAR, 2000). A person living in building with combination (A) receive an annual dose to the lungs smaller than someone living in a building with combination (B) and (C) by 2.0216 x 10-8 Svy-1

The estimation accuracy has been focused in various formal estimation models in recent research initiatives. The formal estimation models were developed to measure lines of code and function points in the software projects but most of them failed to improve accuracy in estimation. The concept of reusability in software development in estimating effort using artificial neural network is focused in this paper. Incorporation of reusability metrics in COCOMO II may yield better results. In COCOMO II it is very difficult to find the values of size parameters. A new model called COREAN has been proposed in this paper for better effort estimation accuracy and reliability. The proposed model has focused on two components of COCOMO II. First, instead of using RUSE cost driver, three new reuse cost drivers are introduced. Second, In order to reduce the project cost, three cost drivers such as PEXE, AEXE, LTEX are combined into single cost driver Personnel Experience (PLEX). Finally, this proposed model accuracy is more improved with the help of Enhanced RPROP algorithm and simulated annealing optimization technique.

This study compared the concentration of ascorbic acid between citrus fruits collected from farm of Kerman in Iran. Determination of ascorbic acid was carried out using a liquid chromatograph coupled to a diode array detector, with reverse phase and isocratic elution. The validation parameters showed efficiency, adequate linearity, relative standard deviation values 0.02 % (n=10) for repeatability and 0.5 % (n=15) for reproducibility, limit of detection (LD) was 0.2 mg L-1 recovery was between 97.3 % and 103.6%. Ascorbic acid 10 species of citrus: sour and sweet orange, umbilical orange, novel orange ,lime, lemon, pink and white grapefruit, aegle marmelos, bergamot, sour and sweet tangerines and clementine was determined. The average ascorbic acid was the highest in Shahdad’s citrus fruits.