DEMO: Simulation of Realistic Mobility Model and Implementation of 802.11p (DSRC) for Vehicular Networks (VANET)

An ad hoc network of vehicles (VANET) consists of vehicles that exchange information via radio in order to improve road safety, traffic management and do better distribution of traffic load in time and space. Along with this it allows Internet access for passengers and users of vehicles. A significant characteristic while studying VANETs is the requirement of having a mobility model that gives aspects of real vehicular traffic. These scenarios play an important role in performance of VANETs. In our paper we have demonstration and description of generating realistic mobility model using various tools such as eWorld, OpenStreetMap, SUMO and TraNS. Generated mobility scenario is added to NS-2.34 (Network Simulator) for analysis of DSR and AODV routing protocol under 802.11p (DSRC/WAVE) and 802.11a. Results after analysis shows 802.11p is more suitable than 802.11a for VANET.Comment: 4 pages, 6 figures, International Journal of Computer Applicatio

Encapsulation of water insoluble drugs in mesoporous silica nanoparticles using supercritical carbon dioxide

Mesoporous silica nanoparticles MCM – 41 were synthesized with two dimensional hexagonal p6mm symmetry, high specific surface area(~ 980m2/g) narrow pore size and an average particle size of 186 nm. The produced nanoparticles were used to encapsulate carbamazepine through a supercritical carbon dioxide process combined with various organic solvents. Supercritical processing was found to provide increased drug encapsulation. The loaded MCM - 41 nanoparticles were analyzed using X–ray diffraction and differential scanning calorimetry (DSC) to investigate the crystalline state of the encapsulated carbamazepine and it was found to be dependent on the nature of the organic solvent. Carbamazepine showed increased dissolution rates under sink conditions. Viability studies of Caco – 2 cells demonstrated negligible cytotoxicity for the MCM–41 nanoparticles

Advanced Door Level Security For Theft Detection

Now a day?s many door access control systems are available in market but still the theft rates are increased. Protecting highly secured areas with single level biometric system for access control is not efficient. So in this paper we proposed a system with two level security checks. This system uses password with face recognition technique for theft detection. First system acquires password from user. If that password matched with authorized password, then current captured image will get compared with authorized image stored along with that password. This two level security reduces the number of comparisons required to match the image with authorized person. If any unauthorized person tries to get access of area, then system raises alarm and sends message to registered mobile number using GSM (Global System for Mobile Communication) module. If any unauthorized person tries to harm the system, vibration sensor sends signal to microcontroller 89E51RD2 which in turns raises alarm. This system helps users for improvement of the door security of sensitive locations by using face detection and recognition. This system uses sensor, namely passive infrared receiver (PIR) which detects presence of human in front of door, Vibration sensors for detecting vibrations at door or window area, Microcontroller 89E51RD2 for sending signals to computer, Camera for capturing images, GSM module for sending messages and a buzzer for alerting authorized persons

Comparative Pharmaceutico - Analytical Study of Kushthaghna Mahakashaya and its Ghanavati w.s.r. to evaluate its shelf life

In this present era of utilization of active principles as a medicine the basic formulations of Bhaishajya Kalpana remain a main source for modern research. The basic formulations are described as Panchavidha Kashaya Kalpanas. Out of these Kashaya Kalpanas, Kwatha Kalpana is an important formulation which is having more potency after Swarasa and Kalka Kalpana. Kashaya has very short shelf life (Saveeryatavadhi). These Kashayas cannot be preserved for longer period. These have to be prepared fresh every day and also the method of preparation is time consuming. Rasakriya (Ghana) is a type of formulation where in the active components can be stored for more days i.e. 3 years (D&C act 161B, w.e.f. 1st April 10). Converting this Kashaya in to Ghana form and then into Ghanavati form may increase the shelf life of the formulation. Along with this it will give a proper shape and dose for the easy administration of medicament. Hence the present research was planned to convert Kushthaghna Mahakashaya Kwatha into Kushthaghna Mahakashaya Ghanavati using standard operating procedure to potentiate active principle in it, and to evaluate shelf life of Kushthaghna Mahakashaya Ghanavati

To study the efficacy of Makarasana as an Agnivardhana Karma

Generally in young age, keeps on doing Mithya Aahara and Vihara which leads to Agnidusthi and which become cause of various diseases. As they work restless, their sedentary habits and stress full lifestyle. They are ought to do Vishamashan, Krodha etc., due to their lifestyle. This type of lifestyle leads to Agnidushti and which becomes cause of various diseases. 80 volunteers of age group 20-40 years were selected for the study. They underwent for clinical study on the basis of number of Lakshanas present. These were taken as subjective parameter and which were Samanya and Vishesh Lakshanas. Those were Arochaka, Vidagdha Udgara, Vishtambha, Aadhmana, Anga-Marda, Atijrumbha, Shirshula, Guru Gatrata, Utklesh. Jarana Kala and Abhyavaharan Shakti were objective parameters, as these two are important to assess Agni of a person. For Jarana Kala gradation was done on the basis of hours of time taken to show Laghuta and Kshuda Bodha, because these are Jeerna Aahara Lakshanas. For Abhyavaran Shakti gradation was done on the basis of quantity of food. To assess Agnivardhana, specific diet chart was prepared by considering their daily requirement of calorie. Volunteers were advised to do three Avartana of Makarasana in the morning; Significant changes were seen in Abhyavaharana Shakti in both groups. 56.7% relief in group A and 72% relief were seen. There were significant changes seen in Jaran Kala in both groups. 54.9% relief in Group A and 74% relief in Group B

Study of Aushadh Sevan Kala in Kaphaja Kasa Vyadhi using Nagaradi Yoga w.s.r. to Grasantar Kala

The present study entitled ‘Study of Aushadha Sevana Kala in Kaphaj Kasa Vyadhi using Nagaradi Yoga with special reference to ‘Grasantar Kala’. Here Clinical study regarding “Kaphaj Kasa” Vyadhi was carried with the help of “Nagaradi Yoga” administered in Grasantar Kala in Group A and at Adhobhakta Kala in Group B 32 patients in each group have been studied with treatment and follow up after each 3 days upto 15 days. Clinical assessment of the patients was done by using criteria regarding Kasa included parameter like no. of Kasa Vega, Kapha Nishtivana, Aruchi, Agnimandya, Chhardi, Utklesha, Gaurava and Peenas. Assessment was done on the basis of scoring pattern designed for them. Asyamadhurya, Kaphapurna Deha, Praliptata, Sashakta Vaishamya and Lomharsha was not observed in any of the patients in this study in any of the group. As data was not available on the above said symptoms, statistical analysis of the symptoms is not needful. When drug was administered at Grasantara Kala more percentage of improvement is observed regarding almost all parameters showed in observation and results. So, it can be statistically concluded that drug administered in Grasantara Bheshaj Kala i.e. 95.84% shows maximum result in Kaphaja Kasa Vyadhi than Adhobhakta Kala i.e. 82.51%

A short note on a mutation of Cheema-sahebi (Syn. Selection-7)

Kurze Mitteilung iiber eine Mutante von Cheema-sahebi (Syn. Selection-7)Die Trauben- und Beerenmerkmale einer spontan entstandenen Knospenmutante der Tafeltraubensorte Cheema-sahebi werden beschrieben. Die Beeren der Mutante sind gegenüber der Ausgangsform auffällig verlängert. Während diese bei Verpackung und Transport 8-100/o ihrer Beeren verliert, zeichnet sich die Mutante durch eine hohe Haftfestigkeit ihrer Beeren aus

A Deep Learning based Model for Fruit Grading using DenseNet

Detecting the rotten fruits become significant in the agricultural industry. Usually, the classification of fresh and rotten fruits is carried by humans is not effectual for the fruit farmers. Human beings will become tired after doing the same task multiple times, but machines do not. Thus, this paper proposes an approach to reduce human efforts, reduce the cost and time for production by identifying the defects in the fruits in the agricultural industry. If we do not detect those defects, those defected fruits may contaminate good fruits. Hence, we proposed a model to avoid the spread of rottenness. The proposed model classifies the fresh fruits and rotten fruits from the input fruit images. For this work, we have used three types of fruits, such as apple, banana, and oranges. A Convolutional Neural Network (CNN) is used for extracting the features from input fruit images, and Softmax is used to classify the images into fresh and rotten fruits. The performance of the proposed model is evaluated on a dataset that is downloaded from Kaggle and produces an accuracy of 97.82%. The results showed that the proposed CNN model can effectively classify the fresh fruits and rotten fruits

Study of BGP Convergence Time

Border Gateway Protocol (BGP), a path vector routing protocol, is a widespread exterior gateway protocol (EGP) in the internet. Extensive deployment of the new technologies in internet, protocols need to have continuous improvements in its behavior and operations. New routing technologies conserve a top level of service availability. Hence, due to topological changes, BGP needs to achieve a fast network convergence. Now a days size of the network growing very rapidly. To maintain the high scalability in the network BGP needs to avoid instability. The instability and failures may cause the network into an unstable state, which significantly increases the network convergence time. This paper summarizes the various approaches like BGP policies, instability, and fault detection etc. to improve the convergence time of BGP

Cold Dark Matter and Holographic Dark Energy Cosmological Model with Big rip singularity

We have explored cold dark matter and holographic dark energy cosmological models with big rip singularity. To obtain the solution of the field equation, we have supposed that scalar expansion $\theta$ is proportional to shear scalar $\sigma ^2$ which leads to $p_1=(p_2) ^n$, where $A_1$, $A_2$ are metric potentials and $n$ is constant. Big bang and Big rip singularity are investigated and analyzed the state-finder parameter. The physical and geometrical parameters of the universe are explained