bluuebunny/crossref_metadata_2025 huggingface dataset:
Pemanfaatan Kunyit (Curcuma domestica Val) Untuk Memurnikan Minyak Jelantah
Authors: Abubakar Muhammad Silmi Hi , Nuryanti Siti , Suherman Suherman
Published: June 2018

Study on the purification and quality test of used cooking oil with turmeric has been done. This study aims to determine the quality of cooking oil after purified turmeric. The quality parameters of oil studied were the moisture content, free fatty acids (FFA), and peroxide. The methods used for determination of these parameters were gravimetry for moisture content, acid-base titration for free fatty acids, and iodometric for peroxide. The test results for water from 0.6% to 0.4% free fatty acid from 1.2% to 0.2%, and peroxide levels before and after purification were successively from and 6 meq/g to 4 meq/g, respectively. Only free fatty acids of all three parameters met the requirement of SNI.
Evaluación cognitiva de niños: un estudio comparativo en San Luis, Argentina/Cognitive Evaluation of Children: a Comparative Study in San Luis, Argentina
Authors: Hauser María Paulina , Labin Agustina
Published: June 2018

EspañolEn la provincia de San Luis (Argentina), se desarrollaron dos estudios con el propósito de conocer la incidencia de factores socioambientales en el desarrollo cognitivo de los niños. En la primera investigación se trabajó con una muestra de niños de alto riesgo entre 6 y 12 meses y, en la segunda, con una muestra de niños sanos de 6 a 9 años. Las evaluaciones cognitivas se llevaron a cabo mediante la aplicación de la Escala Argentina de Inteligencia Sensorio Motriz (EAIS) en la primera investigación y la versión argentina de la Escala de Inteligencia de Wechsler (WISC-IV) en la segunda. Los resultados reflejan que la variable ambiental nivel educativo materno incide en el rendimiento cognitivo alcanzado por los niños de 6 a 9 años, porque a medida en que aumenta la escolaridad materna mejoran los percentiles obtenidos por sus hijos. Sin embargo, no ocurre lo mismo en los bebés evaluados entre los 6 y los 12 meses de vida. Como conclusión, se remarca la importancia de los primeros años de vida en el crecimiento, la maduración y el desarrollo posterior del niño, así como el impacto que el medio familiar, cultural y social puede tener sobre los mismos. Además, se entiende al desarrollo cognitivo como un proceso multideterminado por aspectos subjetivos, ambientales, históricos-sociales y genéticos, entre otros.EnglishPreliminary results are presented from two studies carried out in the province of San Luis, Argentina in which cognitive development in children was evaluated. A sample of high-risk children between 6 and 12 months of age was used in the first study, and in the second a sample of healthy children aged 6-9 years was used. Cognitive assessments were carried out by applying the Argentine Sensory-Motor Intelligence Scale (EAIS) in the first study and the Argentine version of the Wechsler Intelligence Scale (WISC-IV) in the second study. The aim of this work is to discern what factors can affect cognitive development in children. The results reflect that the environmental variable, maternal educational level, affects the cognitive performance achieved by children from 6 to 9 years of age, since as maternal schooling increases the percentiles obtained by their children also rise. However, this was not the case in those infants evaluated between 6 and 12 months of age. We conclude about the importance of early life in growth, maturation and subsequent child development and the impact that family, cultural and social environments may have on them. Cognitive development is understood as a multi-determined process with subjective, environmental, historical and social and genetic aspects, among others.
Hybrid Classification in Bag of Visual Words Model
Authors: Zurita Baldemar , Luna Luís , Hernández José , Ramírez José
Published: June 2018

Classification of images by means of the BOVW method is well known and applied in different recognition projects, this method rely on three phases: detection and extraction of characteristics, representation of the image and finally the classification. SIFT, Kmeans and SVM is the most accepted combination. This article aims to demonstrate that this combination is not always the best choice for all types of datasets, different training sets of images were created from scratch and will be used for the bag of visual words model: the first phase of detection and extraction, SIFT will be used, later in the second phase a dictionary of words will be created through a clustering process using K-means, EM, K-means in combination with EM, finally, for classification it will be compared the algorithms of SVM, Gaussian NB, KNN, Decision Tree, Random Forest, Neural Network and AdaBoost in order to determine the performance and accuracy of every method.
Comparison of service period and lactation milk yields in dairy cows with single- and twin-calving
Authors: Dörstelmann Maximiliane , Ari Melinda , Becskei Zsolt , Gulyás László , Gáspárdy András
Published: June 2018

Introduction. Twin-calving occurs in 3 to 5 % of Holstein Friesian cattle, and it is mostly followed by reproductive and economic problems. This evaluation will compare the service period and the milk yield in cows with single and twin births at a Hungarian large-scale farm. Materials and Methods. The data were collected from 4223 cows between 2000 and 2010. In Cox?s regression model (service period) and general linear model (milk production traits), the type of calving (single/twin), the construction code (referring to the Holstein Friesian blood proportion), the season and number of calvings were fixed effects, and furthermore, the year of calving was a covariate. Results and Conclusions. This analysis showed there was no significant difference in the length of service period (SP) between the two groups of cows. The total lactation milk yield produced a meaningful difference in performance: single-calving cows had greater milk yield (p=0.013), fat yield (p=0.030), and protein yield (p=0.028) than cows with twins. The standard lactation milk yield showed the same tendency at a stronger significance and a lower level of production. This unexpected and contradictory result in service period could be explained by the much longer period of open days in twinning cows, known from previous research. Regarding milk yield, an involuntary decrease for cows after twin calving was confirmed.
The State of the Literature on Audit Committee Compensation and Its Implications for Practice and Research
Authors: Hayek Caroline Claro
Published: June 2018

The compensation structure of audit committee members has shifted over time to comprise greater proportions of equity and less cash. Practitioners and researchers debate what mixture of cash and equity compensation promotes audit committee objectivity and financial reporting quality. This article summarizes the current state of the audit committee compensation literature and discusses the implications of these findings for future researchers, practitioners, and regulators.
Color Repair of a Composite Resin Restoration
Authors: Rauber GB , Taguchi CMC , Padilha ACL , de Re Silveira RC , Bernardon JK , Baratieri LN
Published: June 2018

Fractured teeth with both enamel and dentin involvement might be treated with adhesive composite resin restorations. In cases where a perfect color match between the composite restoration and the remaining tooth structure is not achieved, a repair might be carried out to correct the color of restoration. This procedure avoids the restoration replacement, preserving tooth structure without compromising the esthetic outcome.
Effect of Remineralizing Gels on Microhardness, Color and Wear Susceptibility of Bleached Enamel
Authors: Crastechini E , Borges AB , Torres CRG
Published: June 2018

Objectives:

To evaluate the effect of a remineralizing gel combining fluoride and calcium silicate/phosphate or a sodium fluoride gel on bleached enamel microhardness, color, and wear susceptibility.

Methods and Materials:

Two hundred forty bovine enamel-dentin samples were prepared. Baseline analysis of Knoop microhardness, color coordinates (L*a*b*), and surface profile were performed. According to the baseline microhardness values, specimens were stratified into six groups (n=40): NC (negative control)—no treatment; BL (positive control)—bleaching with 40% hydrogen peroxide gel (Opalescence Boost, Ultradent); BL/Rs—bleaching + application of calcium silicate/phosphate gel (Regenerate Serum, Unilever - Rs); Rs/BL—Rs + bleaching; Rs/BL/Rs—Rs + bleaching + Rs; and BL/F—bleaching + 2% sodium fluoride gel. After the treatment described for each group, color change (ΔE) and microhardness were evaluated again. To evaluate abrasion susceptibility, samples were randomly divided into two subgroups, according to the toothpaste used (Cp—Close Up or Rt—Regenerate), and underwent 100,000 brushing strokes. The profile of each sample was evaluated and the mean wear calculated. The data were analyzed by ANOVA and Tukey tests.

Results:

All bleached groups showed a significant reduction of microhardness in relation to the negative control. The groups treated with remineralizing gels showed a significantly higher microhardness and less wear than the positive control, although nonsignificant differences were observed among them. Nonsignificant differences in ΔE were found among bleached groups. The groups brushed with Regenerate toothpaste showed significantly less wear than those brushed with Close Up toothpaste.

Conclusions:

The remineralizing gels did not interfere with bleaching efficacy. However, all the treatments minimized the surface hardness reduction caused by the bleaching procedure and enamel loss after abrasion. Regenerate toothpaste resulted in less enamel abrasion.
In Vitro Effect of Innovative Desensitizing Agents on Dentin Tubule Occlusion and Erosive Wear
Authors: Garofalo SA , Sakae LO , Machado AC , Cunha SR , Zezell DM , Scaramucci T , Aranha AC
Published: June 2018

Purpose:

The purpose of this study was to evaluate the effects of four in-office desensitizing products on dentin tubule occlusion and erosive wear.

Methods:

Dentin hypersensitivity was simulated by EDTA application for five minutes. The specimens were randomly allocated into five groups (n=11), according to treatment: No treatment - Control (C), Duraphat (DUR), Desensibilize Nano P (NP), ClinPro XT Varnish (XTV), and ClinPro White Varnish (CWV). They were then submitted to erosive/abrasive cycling for five days. After EDTA, treatment, and cycling, the specimens were analyzed with an environmental scanning electron microscope (ESEM) to verify the number of opened dentin tubules (ODT) which were counted by using ImageJ software, and with a profilometer to determine the surface curvature/loss. ESEM data were analyzed with two-way repeated measure analysis of variance and Tukey tests. For the profilometer, data were analyzed with Kruskal-Wallis, Tukey, and Mann-Whitney tests.

Results:

After treatment, all groups showed lower ODT than the control, without significant differences between them. After cycling, the only group that showed lower ODT than the control was group XTV; however, it did not significantly differ from the other groups. For the profilometric analysis, there were significant differences in SL between the experimental times after treatment and after cycling for all groups (p<0.05). After cycling, no surface loss was detected in groups DUR and XTV, which presented a significantly different curvature than group NP and the control group, but not from group CWV. Surface loss was detected for the control and groups NP and CWV, without difference among them.

Conclusion:

All desensitizing agents tested presented promising results concerning the obliteration of dentin tubules immediately after treatment. XTV was the only desensitizer capable of preventing the reopening of the tubules after the erosive/abrasive challenges. XTV and DUR presented a protective effect against dentin erosive wear.
Application of Calcium Silicate Materials After Acid Etching May Preserve Resin-Dentin Bonds
Authors: Aggarwal V , Bhasin SS
Published: June 2018

Introduction:

The aim of the present study was to evaluate the effect of the application of calcium silicate materials (CSMs), after acid etching, on the longevity of the hybrid layer and marginal adaptation of composite restorations.

Methods and Materials:

Eighty human permanent molars received an intrapulpal pressure of 15 cm H2O. Sixty teeth received a mesial proximal slot preparation with the gingival margin extending 1 mm below the cemento-enamel junction. The samples were divided into two groups. Group 1 received restorations using two types of etch-and-rinse adhesives: ethanol based (Single Bond, 3M ESPE, St Paul, MN, USA) and acetone based (Prime & Bond NT, Dentsply, DeTrey GmbH, Germany). In group 2 samples, a commercially available CSM (ProRoot MTA) was allowed to set before grinding and placing into a distilled water solution. This solution was applied on the cavity floor after acid etching. The surface was washed after 30 seconds followed by application of adhesives and restorations as in group 1. The samples were stored in phosphate-buffered saline for six months, maintaining the intrapulpal pressure. An epoxy replica was made, and the marginal adaptation was evaluated using scanning electron microscopy. The percentage of continuous margin (CM) was recorded for each group. Another 20 samples were used for hybrid layer evaluation. The crowns were ground to expose dentin. Intrapulpal pressure was applied. The samples were divided into two groups and restored similar to samples restored for marginal adaptation evaluation. The samples were longitudinally cut in 1-mm slices. The slices were stored under 15 cm of phosphate-buffered saline to simulate the pulpal pressure. After six months, the adhesive interface was evaluated using a scanning electron microscope. Statistical analysis was done with two-way analysis of variance with Holm-Sidak's correction for multiple comparisons.

Results:

Application of CSMs improved the marginal adaptation values in both adhesive groups. In group 1, there were areas of incomplete penetration of resins along with evidence of partial degradation of resin tags. Samples receiving CSM application after acid etching demonstrated long and regular resin tags with very few signs of degradation.

Conclusions:

Application of CSMs after acid etching can be a potential avenue in preserving the resin-dentin bonds.
Linear Coefficient of Thermal Expansion Evaluation of Glass Ionomer and Resin-Modified Glass Ionomer Restorative Materials
Authors: Pinto-Sinai G , Brewster J , Roberts H
Published: June 2018

Objective:

The purpose of this evaluation was to evaluate the linear coefficient of thermal expansion (LCTE) of 12 conventional glass ionomer (GIC) and four resin-modified glass ionomer (RMGI) restorative materials.

Methods:

GIC and RMGI specimens (2 mm × 5 mm × 5 mm) were fabricated (n=12) following manufacturer instructions and were placed in 0.2M phosphate-buffered saline and stored at 37°C and 98% humidity for one week. Specimens had LCTE determined with a thermomechanical analysis (TMA) unit using a 15°C-50°C heating cycle as well as a 50°C-15°C cooling cycle at a 5°C/min rate, using a 3-mm ball-point probe under 0.02 N probe pressure with all specimens kept saturated with PBS using a specially designed quartz container. Each specimen was tested three times, with the mean representing the specimen LCTE. Mean results between specimen heating and cooling were compared with paired Wilcoxon sign rank test, while results between materials were compared with Kruskal-Wallis/Dunn's (α=0.05).

Results:

GIC LCTE ranged from approximately 5°C to 20°C ppm °K−1, while the RMGI LCTE ranged from approximately 25°C to 47°C ppm °K−1. With some exception, the LCTE during cooling displayed a greater trend.

Significance:

Under moisture conditions similar to the oral cavity, GIC materials overall had LCTE values closer to that reported for tooth structure. RMGI materials displayed higher values, which was thought to be related to the amount of resin in the matrix. A generally greater LCTE trend with cooling for all materials was noted, but the small magnitude of the difference is presently thought to be of minor clinical significance.
Surface Roughness of Ceramic-Resin Composites After Femtosecond Laser Irradiation, Sandblasting or Acid Etching and Their Bond Strength With and Without Silanization to a Resin Cement
Authors: Demirtag Z , Culhaoglu AK
Published: June 2018

Objectives:

The aim of this study was to investigate the effects of femtosecond laser irradiation, sandblasting, or acid etching treatments on the surface roughness of ceramic-resin composites and also shear bond strength (SBS) with and without silanization to a resin cement.

Methods:

Samples of Vita Enamic (VE; Vita Zahnfabrik, Bad Säckingen, Germany) and Lava Ultimate (LU; 3M ESPE, Seefeld, Germany) were classified into control (no treatment), sandblasting, hydrofluoric acid, and femtosecond laser groups (n=30). Surface roughness was determined using two-dimensional contact profilometry. Surface topography was evaluated using a three-dimensional contact profilometer and a scanning electron microscope. Then groups were divided into two subgroups with similar surface roughness values, including control (C), control + silane (C-S), sandblasting (SB), sandblasting + silane (SB-S), hydrofluoric acid (HF), hydrofluoric acid + silane (HF-S), femtosecond laser (FS), and femtosecond laser + silane (FS-S) groups (n=15). Panavia F 2.0 resin cement was applied to the sample surfaces using an SDI SBS rig (SDI Limited, Bayswater, Australia). The SBS test was performed after water storage (24 h, 37°C) and thermocycles (2000 cycles, 5°C to 55°C), and failure modes were evaluated.

Results:

The highest surface roughness was observed in the FS group, and the highest SBS was observed in the FS-S group for both VE and LU (p<0.001). Silanization improved the SBS of VE significantly (p<0.001) in all surface treatments but did not improve that of LU except in the FS group (p=0.004). There was a significantly moderate negative correlation in the VE/SB group (p=0.012) and a moderate positive correlation in the VE/HF group (p=0.049).

Conclusions:

Femtosecond laser irradiation was found to be more effective than sandblasting or acid etching in increasing the surface roughness, and it was also the most effective surface treatment with silanization on the SBS of a resin cement to the ceramic-resin composites.
Utility of Vibratory Stimulation for Reducing Intraoral Injection Pain
Authors: Erdogan Ozgur , Sinsawat Anatachai , Pawa Sudeep , Rintanalert Duangtawan , Vuddhakanok Suchada
Published: June 2018

Intraoral local anesthesia injection is often perceived as a painful and anxiety-causing dental procedure. Vibration stimulus is one of the nonpharmacologic methods used to reduce unwanted sensations of local anesthesia injection. This clinical study evaluated the effectiveness of a recently introduced vibratory stimulation device in intraoral local anesthesia administration. Thirty-two subjects underwent 2 maxillary local anesthesia injections in 2 different sessions: 1 with conventional techniques and 1 with the aid of a vibratory stimulation device (DentalVibe). The pain levels were evaluated with a visual analog scale and the Wong-Baker FACES Pain Rating Scale. The subjects were asked to choose the preferred method for future injections. The data were evaluated statistically. There were no significant differences between the 2 injection methods with regard to either pain evaluation method. The preference of the subjects regarding future injection technique was evenly distributed between the groups. The vibratory stimulation device used in this study did not provide any reduction in pain level associated with maxillary infiltration local anesthesia administration.
Effects of Lidocaine and Articaine on Neuronal Survival and Recovery
Authors: Albalawi Farraj , Lim Jason C. , DiRenzo Kyle V. , Hersh Elliot V. , Mitchell Claire H.
Published: June 2018

The local anesthetics lidocaine and articaine are among the most widely used drugs in the dentist's arsenal, relieving pain by blocking voltage-dependent Na+ channels and thus preventing transmission of the pain signal. Given reports of infrequent but prolonged paresthesias with 4% articaine, we compared its neurotoxicity and functional impairment by screening cultured neural SH-SY5Y cells with formulations used in patients (2% lidocaine + 1:100,000 epinephrine or 4% articaine + 1:100,000 epinephrine) and with pure formulations of the drugs. Voltage-dependent sodium channels Na(v)1.2 and Na(v)1.7 were expressed in SH-SY5Y cells. To test the effects on viability, cells were exposed to drugs for 5 minutes, and after washing, cells were treated with the ratiometric Live/Dead assay. Articaine had no effect on the survival of SH-SY5Y cells, while lidocaine produced a significant reduction only when used as pure powder. To determine reversibility of blockage, wells were exposed to drugs for 5 minutes and returned for medium for 30 minutes, and the calcium elevation induced by depolarizing cells with a high-potassium solution was measured using the calcium indicator Fura-2. High potassium raised calcium in control SH-SY5Y cells and those treated with articaine, but lidocaine treatment significantly reduced the response. In conclusion, articaine does not damage neural cells more than lidocaine in this in vitro model. While this does not question the safety of lidocaine used clinically, it does suggest that articaine is no more neurotoxic, at least in the in vitro setting.
Going Green: A Study on Consumer Perception and Willingness to Pay towards Green Attributes of Hotels
Authors: Agarwal Srishti , Kasliwal Neeti
Published: June 2018

Going green has become a new trend for Indian consumers. The perception towards green environment gave birth to the new insight of consumers. This study is guided by four research questions: (1) Identifying perception of Indian consumers about green attributes of hotels, (2) Identifying willingness to pay (WTP) of Indian consumers for green attributes of hotels, (3) Identifying the difference between the family income and willingness to pay of Indian consumers towards green attributes of hotels, and (4) and identifying the relationship between the perception and willingness to pay of Indian consumers towards green attributes of hotels. The current study concluded that Indian consumers have a positive perception towards green products and services but positive perception of consumers does not have positive willingness to pay. Some Indian consumers are willing to pay for green products and services but many of them are not ready to pay an extra amount for the same. So it’s a big challenge for the hoteliers to come out with those green services which can attract consumers. Also, they should make aware about the usage of green services and its importance so that consumers can easily buy without any hesitation.
The Importance of Thermal Insulation: Characteristics, Properties and Applications
Authors: Grosso Cristiane Fernanda , Freitas Irene Rodrigues
Published: June 2018

Thermal insulation is used to ensure that there is no loss or gain of heat in a medium, and therefore must be very well chosen considering the properties, applications and costs. It is used for protection, prevention, comfort and economy. The choice of insulation, the thickness and the method of application are extremely important to obtain good technical and economic results. The objective of the present article was to compile characteristics and properties of thermal insulation, exposing its applications in thermal products companies. Thus, information and research results were collected from articles, and grouped into insulation originating from animal, synthetic, vegetal, animal, vacuum compounds and gases. A questionnaire was also applied to manufacturers and users of thermal insulation, reporting on each insulation and its applications. The differences of each thermal insulation, its advantages and applications are noted. There is no insulator that fully has all the advantageous properties and characteristics. Therefore, the choice of the insulation should be thorough, opting for one which shows greater propensity to the desired application.
Literature Study –Data Mining Techniques on Detecting Fradulent Activities in Credit Card
Authors: Saravanan S. K. , Babu G. N. K. Suresh
Published: June 2018

In contemporary days the more secured data transfer occurs almost through internet. At same duration the risk also augments in secure data transfer. Having the rise and also light progressiveness in e – commerce, the usage of credit card (CC) online transactions has been also dramatically augmenting. The CC (credit card) usage for a safety balance transfer has been a time requirement. Credit-card fraud finding is the most significant thing like fraudsters that are augmenting every day. The intention of this survey has been assaying regarding the issues associated with credit card deception behavior utilizing data-mining methodologies. Data mining has been a clear procedure which takes data like input and also proffers throughput in the models forms or patterns forms. This investigation is very beneficial for any credit card supplier for choosing a suitable solution for their issue and for the researchers for having a comprehensive assessment of the literature in this field.
Selective Spanning With Fast Enumeration Algorithm for MIMO
Authors: L Sruthy , Bharathi L , Malini P
Published: June 2018

Multiple input multiple output system have been emerged technology to increase channel capacity and a technical breakthrough for high data rate wireless transmission. The main objective of MIMO system is to obtain low Symbol Error Rate (SER) and acceptable computational complexity. The MIMO system cannot be implemented due to complexity problem. The complexity of MIMO system can be reduced by using different detector algorithms. In this paper, the performance of MIMO system over AWGN (Additive White Gaussian Noise) with ZF, MMSE, SD, K best algorithm and SSFE are analyzed using different antenna configuration. The Bit Error Rate performance of all detectors are studied for 16QAM modulation technique using AWGN channel for the analysis purpose and their effect on BER (Bit Error Rate) have been presented.
Unsteady MHD Free Convective Heat and Mass Transfer Flow Past a Vertical Porous Plate in the Presence of Radiation and Chemical Reaction
Authors: Buggaramulu J. , Venkatakrishna M. , Harikrishna Y.
Published: June 2018

The objective of this paper is to analyze an unsteady MHD free convective heat and mass transfer boundary flow past a semi-infinite vertical porous plate immersed in a porous medium with radiation and chemical reaction. The governing equations of the flow field are solved numerical a two term perturbation method. The effects of the various parameters on the velocity, temperature and concentration profiles are presented graphically and values of skin-frication coefficient, Nusselt number and Sherwood number for various values of physical parameters are presented through tables.
Information and Communication Technologies (ICTs) for Inclusive Human Development: A Review
Authors: Gulati Rakesh Kumar , Kaur Manveen
Published: June 2018

Information and Communications Technologies (ICTs) adoption is increasing globally for human development because of its potential affect in many aspects of economic and societal activities such as GDP growth, employment, productivity, poverty alleviation, quality of life, education, clean water and sanitation, clean energy, and healthcare. Adoption of new technologies has been the main challenge in rural areas and is the main reason for the growing gap between rural and urban economy. The work related ICT use have also yielded mixed results; some studies show the individual’s perceived work-family conflict, negative cognitive responses e.g. techno stress while others show increased productivity, improved job satisfaction and work-family balance due to flexible work timings. This paper attempts to understand the role of ICT in human development areas of health, education and citizen empowerment taking into consideration of digital divide which exists in geographic area and within the communities through literature review.
Affect of Employee Authority on Job Expiation: An Empirical Investigation of Banks in India
Authors: Sharma Vikas , Mittal Vivek
Published: June 2018

The aim of this analyze is to find out the relationship among employee authority and job expiation in Banks in New Delhi. This analyze also analyzes the difference among Job expiation level of male and female employees. The form comprising forty eight statements was employed for collection of data and was distributed among 180 employees of Banks in New Delhi. The t-test, ANOVA and regression analysis pointed that employee authority has positive and important impact on job expiation. The consequences also confirmed that no substantial difference among male and female employees exist job expiation level.
Controlling Task Dependency as a Risk Mitigation Process
Authors: Hasni Mohamed S M , Köprübaşı Turhan
Published: June 2018

The construction of highly reliable software projects requires that these projects meet the objectives for which they have been set, and therefore failure to meet any of these objectives and needs will make the software project prone to failure. Thus, ignoring strong needs and not including users adequately especially in identifying their needs and tracking their dependencies clearly can be considered one of the main risks of failure. In this paper, we present a systematic approach to addressing this phenomenon and its mitigation mechanism.
Maharashtra State’s Electricity Supply - Demand Forecasting for 2030 and 2050 using LEAP
Authors: Lotia Namrata , Shrivastava R. L. , Bagde Sachin , Pandit Pushkar
Published: June 2018

Electricity is one of the essential facilitator for achieving socio-economic development of the state and so the country. Amongst various modes adopted for meeting the ever increasing demand of electricity to achieve the targeted growth rate, Generation (supply) capacity enhancement is the most essential component. The economic growth leads to growth in demand of power. However, in view of the limited available fuel resources for generation, to meet this demand the capacity addition has to be planned very optimally Keeping in view the status of Maharashtra state as per as electricity consumption is concerned, it becomes essential to forecast the electricity requirement of the state  and to meet that forecasted demand, what must be the installed capacity and the rate of electricity generation . In this paper LEAP software has been utilized for electricity requirement (Demand) and electricity generation(Supply) projections using various scenarios for Maharashtra state  in 2030 and 2050 .
Developing Sustainable Marketing Strategy for Electric Vehicle (EV) - Automotif
Authors: Pahurkar Rajesh N. , Metha Parag
Published: June 2018

Future of urban mobility is electric vehicle (EV) and there is no doubt about it. At the same time, it is considered as a new product among the automobile industry. However, entire EV industry is evolving and lot of R&D is going to get major lead in this industry.This project puts forward and determines sustainable business strategy for EV by doing external environment analysis using PESTEL and Porter’s five forces and mapping of opportunities and threat which effects company’s direction as well as to locate potential sources of competitive advantage from a perspective that encompasses the internal, external, and dynamic fit of strategy.Project give the assessment of the strategic impact of the moves of competitors and how to maintain competitive advantage, understand the general drivers that create and sustain competitive advantage using Porter’s Generic strategy, and how to identify organizational barriers to change using Ansoff’s Matrix and Value Chain Analysis. It also tries to analysis market using segmentation, targeting and positioning based on conducted survey. It also provides overview of distribution and suggests omnichannel approach.This project aimed to use as an assessment and redesign of steps of current strategy and develop plans for effective implementation to give firm a competitive advantage.Maintaining a competitive advantage takes more than great timing or a single solution. Sustainable advantage requires a well-designed and well-executed strategy. This project covers analysis of various tools and frameworks that can be used to develop and execute a successful strategy.
SHG Bank Linkage Programme in India and Its Impact on Rural Saving: Literature Review
Authors: Srivastava Usha , Rao Srinivas
Published: June 2018

Individual saving and investment are important for the economy of a developing country. Investment is important for the capital formation and growth of economy. India is a rural based country where 80% of total population is living in rural area. Marginal propensity of saving (MPS) in rural household is very insignificant.SHG Bank linkage programme pioneered by NABARD in 1992 with 500 SHG has become a strong tool for improving the saving habit of rural people specially women. Since 1992 more than 80 lakhs of SHG are linked to various banks. The self help group of 10-15 women is motivated to save money periodically and encouraged to put their saving in some income generating activity or other kind of investment. Bank linkage programme is playing a pivotal role in rural saving and hence their investment. The present study has been carried out to review the literature on the impact of SHG Bank linkage programme on rural people’s saving and investment habit.
Key based Access Control Policies to Solve Security in Cloud Data Sharing
Authors: Arunajyothi G.
Published: June 2018

Cloud achieves not just diverse levels of accommodation and proficiency issues albeit persistently advancing in such manner, additionally extraordinary difficulties in the field of information assurance. SaaS based distributed computing stockpiling suppliers, for example, google, send space have been there for calm at some point with the security viewpoint continually being disregarded. So we propose a cloud construction modeling that addresses the security perspective as for encryption, access control and with respect to risk assessment, key controls, and monitoring and reporting execution sign. We additionally broaden it with data transmission estimation plan which is another key execution pointer of mists. Contrasted with before methodologies this plan has a lesser calculation overhead and is considered cutting edge because of usage of every conceivable execution parameter of cloud area.
Enforcing Distributed Database Security using Multi-Scope based Authentication and Enhanced Distributed Firewall
Authors: Singh Surya Pratap , Maurya Arvind Kumar , Mishra Manish , Tripathi Upendra Nath
Published: June 2018

The data is the most valuable asset of any organization, it resides data in the database system that is used to store data of every running application. So the security of database is very important. One of the most widely used types of a database is Distributed Database which has the capabilities of both a relational database and distributed network architecture. Hence the security of database is of the prime concern and at the same time, it is very tough to ensure, because different types of attackers and hackers are trying everything to compromise the distributed database security. Various researches are done to preserve the distributed database security but some security problems are still unresolved. In this paper, we propose the use of Multi-scope based authentication and Enhanced Distributed firewall by which the integrity and security of distributed database can be achieved.
Strategic Decision Making for Outsourcing Information Systems with a Fuzzy Multi-criteria Decision-Making Approach
Authors: Modiri Mahmoud , Dashti Mohammad
Published: June 2018

Today, IS supplier selection is one of the most critical steps in the outsourcing process; the success of outsourcing is highly dependent on the selection of IS suppliers. This paper proposes a new hybrid fuzzy multi-criteria decision-making (MCDM) model, which uses decision-making trial and evaluation laboratory (DEMATEL) technique, analytic network process (ANP), and Vlse Kriterijumska Optimizacija I Kompromisno Resenje(VIKOR) to evaluate four potential suppliers using seven factors and five decision makers using a realistic case study. the results showed that Service support is importance for outsourcing. The proposed model can help practitioners improve their decision making process.
Combined Strategy for Cellular Traffic Congestion Management
Authors: Singh Avinash , Singh Surya Pratap , Maurya Arvind Kumar , Tripathi Upendra Nath
Published: June 2018

In wireless media, congestion is usual phenomenon that arises due abruptly raised subscribers demand to establish connections congruently in particular cell at mean real time. Generally, the congestion problem occurs in cellular network traffic and almost persists in every generation. Every mobile network operators is facing this problem every day and struggling to resolve this issue but not being success yet.  As more advance cellular devices are being in demand and its users are also being increasing which turns to demand larger bandwidth requirements from cellular subscriber. Presently for cellular network, both at infrastructures level and manual configuration, the network management strategy founds to be inefficient to resolve these issues effective way. While trying to resolve, at certain critical peak hours and occasions, situation gets worse. Since, every cellular operator are being facing strong criticism from both user and regulating authorities on this issue. An effort from subscriber’s end is to done only minor infrastructural changes to operate and maintain the network at low cost which found to ineffective and being failed to handle the communication demands of higher Quality of Service (QoS). One way of handling congestion would be through hardware amendment like sectorial design, cell partition, or some software enabled functions use to organize to automate the configuration, optimize and maintenance of cellular networks, But these changes involves heavy investment by subscriber which in turns to cost from user for its services. Concerning on this unresolved issue, our prime motive is to forward innovative effort work that could effectively and sustainable to manage the congestion for long duration. In this paper, we first review the various load sharing and balancing techniques those are used to resolve traffic congestion occurrences in mobile networks. And further  presents  an algorithm  design  that would helpful to develop  a  reliable,  flexible,  highly  efficient  load balancing and sharing system. The system based on proposed schema could manage the cell network resources with special emphasis techniques having suitable self optimization feature for future wireless cellular networks.
Fire Risk Analysis Using Geospatial Approach and Mitigation Measures for South-West Delhi
Authors: Tomar S. K. , Kaur A. , Dangi H. K. , Ghawana T. , Sarma K.
Published: June 2018

One of the major challenge from unplanned growth in the cities is the fire incidents posing a serious threat to life and property. Delhi, the capital city of India, has seen unplanned growth of colonies resulting in a serious concern for the relevant agencies. This paper investigates the relation between potential causes of fire incidents during 2013-2016 in South-West Delhi Division of Delhi Fire Services as part of risk analysis using the data about fire stations & their jurisdictions, incidents of fire, water reservoirs available, landuse and population data along with the divisional & sub-divisional boundaries of South-West Delhi division under Delhi Fire Service. Statistical and Geospatial tools have been used together to perform the risk analysis. The analysis reveals that difference in actual occupancy and defined landuse as a part of unplanned growth of settlements is found to be the main reason behind the major fire incidents. The suggested mitigation measures focus on legal, policy, physical & technological aspects and highlight the need to bring the systemic changes with changing scenario of demographics and infrastructure to accommodate more aspects of ground reality.
A Study of Correlation of Motivational Factor with Overall Job Satisfaction of B- School Faculties in the Context of Pune Region
Authors: Mohite Mittal Ashwin
Published: June 2018

Education is very important source of knowledge in today’s world. A good education system in place and its benefits and success entirely depends on the quality of the faculties. It is important that the faculties must have contentment or sense of fulfilment with their job. This is the utmost essential factor in the area of higher education. Several studies have examined from developing countries on Job satisfaction of faculties in Management education. Management education is having more demand in today’s competition. Management education is become a big shot in business world. Job satisfaction can be defined as the encouraging emotive feeling arising from getting what someone is expecting out of. . High level of Job satisfaction shows good emotional and mental state of faculties. If the faculties are not contended with their work profile it is possible that they will not put more efforts in giving their performance which is directly affect the education system and students of the nation. The purpose of this study is to identify the relationship between demographic characteristics (age, gender, academic rank, Working experience in academics) & Job satisfaction of B school Faculties in Pune Region. Data was collected through survey method. A questionnaire is designed to survey with 300 faculties from selected B School in Pune region. Results of this study showed that most faculties were only a moderate level of job satisfaction. However, female faculty members were less satisfied than male faculties. It was found that male faculties outnumber female faculties. Faculty’s ages are evenly spread over all age groups. Maximum numbers of faculties have experience below 10 years.
Optimal Water Allocation Using Data Mining Techniques- A Survey
Authors: T K Sara Kutty , M Hanumanthappa
Published: June 2018

Water is one of the most precious resources on earth. All living beings depend on water and it is used for agriculture, environment, household, power generation, industries, navigation, recreation etc. The volume of water resources data in the world is increasing day by day and various studies are carried-out on these data for decision making process. To handle this enormous volume of water data, many methods are available, but the most adequate and suitable method for optimal allocation of water data is data mining. It can be used to predict the results for future action related to weather forecasting, climate change, water management, flood controlling, optimal water allocation etc. This survey paper elaborates the theoretical background of data-mining models and highlights the applications in knowledge data discovery from a water resources database, in particularly on optimal water allocation. Application of data-mining to water management is at a developmental stage and very few research works have been carried out on this domain.
Image Steganography Using DWT and Semi Hexadecimal Code Based on PSNR
Authors: Singh Balkar
Published: June 2018

In this paper, a novel image steganography approach is proposed to enhance the visual quality of stego image. The cover image is decomposed using Discrete Wavelet Transform (DWT) to produce wavelet subbands and threshold value is calculated for each higher frequency wavelet subbands. Wavelet coefficients having magnitude larger than the threshold of its subband are selected to embed the secret data. Semi Hexadecimal Code (SHC) is proposed to convert pixel value of secret image into smaller equivalent value so that it distorts stego image as less as possible. Experimental results shows that maximum PSNR between cover image and stego image is more than 75 dB .Proposed approach is also compared with the existing approaches and this comparison shows that the proposed approach is better than the existing approaches.
A Self-Repairing Digital System with High-Quality Scalability and Fault Coverage
Authors: Ravichand S. , Madhu T. , Sailaja M.
Published: June 2018

In any fault tolerant or BIST system the primary goal is to covenant with faults that arise in the indented system. The proposed system using genetic algorithm to optimize the performance and area of given circuit.  This approach is supple for combinational circuit design. The use of four spare cells simplifies the operation of the active block in the current system; it needs more space to establish itself so it is considered as overhead. The proposed method of fault detection and correction for logical errors using genetic algorithm decreases the area overhead. Detection of Fault in the memory unit through BIST implementation increases the speed but replacing the existing faulty block with fault free block degrades the fault analyzing capabilities. Utmost care has on all the works implemented for the process of minimizing the error in different digital process. Therefore, with the new scope of proposing the method of reducing the error flow for the application of medical field, aeronautical, satellite broadcasting is described very efficiently in this paper. The simulation results of the fault tolerant and self-repairing method using genetic algorithm is presented.
New Feature Vectors using GFCC for Speaker Identification
Authors: Nagesh A.
Published: June 2018

The feature vectors of speaker identification system plays a crucial role in the overall performance of the system. There are many new feature vectors extraction methods based on MFCC, but ultimately we want to maximize the performance of SID system.  The objective of this paper to derive Gammatone Frequency Cepstral Coefficients (GFCC) based a new set of feature vectors using Gaussian Mixer model (GMM) for speaker identification. The MFCC are the default feature vectors for speaker recognition, but they are not very robust at the presence of additive noise. The GFCC features in recent studies have shown very good robustness against noise and acoustic change. The main idea is  GFCC features based on GMM feature extraction is to improve the overall speaker identification performance in low signal to noise ratio (SNR) conditions.
Split and Merge: A Region Based Image Segmentation
Authors: Bala Anju , Sharma Aman Kumar
Published: June 2018

Image segmentation is a very challenging task in digital image processing field. It is defined as the process of takeout objects from an image by dividing it into different regions where regions that depicts some information are called objects. There are different types of image segmentation algorithms. The segmentation process depends upon the type of description required for an application for which segmentation is to be performed. Hence, there is no universally accepted segmentation algorithm. Region segmentation is divided into three categories region growing, split and merge and watershed. But this study confines only to split and merge techniques. This paper includes split and merge approaches and their extended versions. This study highlights the main limitations and potentials of these approaches.
Advertising Collision in Social Media amid Facebook and Twitter
Authors: .R Kavitha
Published: June 2018

Marketers have recognized that social media advertising has an important part of their marketing communication strategies. Also, social media helps the organization to communicate with their customers. Social media becomes part of a person’s life. The relationship between social media and customer decision making present that social media affects advertising attitudes and brand attitude and purchasing intention of customers. It will not necessarily affect customer’s decision making but might possess a mediating effect.