Design of CSKAS-VANET model for stable clustering and authentication scheme using RBMA and signcryption

A public key infrastructure-enabled system authentication model is developed to provide essential security functions for Vehicular ad hoc networks (VANETs). An intelligent transportation system is provided by VANET, an emerging technology. Dedicated short-range communication is used to disseminate messages wirelessly. Communications may be hacked, and messages can be stolen or fabricated. Hence, authenticated communication is crucial in the VANET environment. Some parameters such as trust, authentication, privacy, and security are at high risk. This article suggests a VANET with secure authentication and trust-based clustering mechanisms to provide stable and secure communication. Initially, the Restricted Boltzmann Machine learning algorithm (RBMA) is used to select the cluster head, which depends upon trust, vehicle lifetime, and buffer level. Then, cluster members are formed, followed by grouping. Diffie–Hellman Hyperelliptic Curve Cryptography and cryptographic hash functions are used by signcryption for secure communication in VANET. Therefore, the essential component of the key agreement strategy that will give superior authentication is this signcryption mechanism. Over the medium access protocol layer, all of these security characteristics are updated. The proposed method of clustering signcryption key agreement scheme (CSKAS) approach reduces time complexity and increases packet delivery ratio which is vital in providing stable, secure communication

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Early heart disease detection using data mining techniques with hadoop map reduce Early Heart Disease Detection Using Data Mining Techniques with Hadoop Map Reduce

International audienceHeart and other organs are important parts in human body. As per World Health Organisation(WHO)'s statistics, the cause of death in all over world is mostly due to cardiovascular diseases. The reason behind this are sedentary lifestyle which may lead to obesity, increase in cholesterol level, high blood pressure and hypertension. In this paper, by using various data mining techniques, such as Naive Bayes(NB), Decision Tree(DT), Artificial Intelligence (AI), Neural Network (NN) and clustering algorithms such as Association Rules. Support Vector Machine (SVM) and K-NN algorithms are used to extract the Knowledge from the large number of data set. The generated reports help doctors and nurses to identify about disease and their levels with which they can provide a better treatment to the patient. Text Mining is most commonly used mining technique in health care industry. In this paper we compare K-means clustering algorithm with Map Reduce Algorithm's implementation efficiency in parallel and distributed systems

High intensity exercise training programme following cardiac transplant

A 26-year-old male patient who presented with symptoms of end stage cardiac failure as a result of dilated cardiomyopathy, had an orthotopic cardiac transplantation. A comprehensive cardiac rehabilitation programme was provided to him and he was introduced to a sport (tennis). The exercise training programme progressed from low intensity training to high intensity programme over a period of 15 months. A cardio-pulmonary exercise test done 22 months after surgery suggested that he was able to achieve the aerobic capacity comparable to that of a normal South Indian subject. He participated successfully in the World Transplant Games in Sydney and returned safely. This suggests that after a proper cardiac rehabilitation programme, patients undergoing heart transplantation can achieve normal physiological responses to lead a normal active lif

Unusual bumper catch of shrimps at Nochikuppam, near Chennai, east coast of India

Sporadic occurrence of penaeid shrimps consisting exclusively of Fenneropenaeus indicus (Indian white shrimp–Vella eral/Por eral), F. merguiensis (banana shrimp – Vella eral/ Sunnambu eral), Penaeus semisulcatus (green tiger shrimp – Valayampoota era/motta eral/vari eral/ flower), Penacus monodon (giant tiger shrimp – Kotteral/Kathamba eral/kara) are usually recorded by indigenous gears like single-layer gillnet (Pannu valai) and three-layer trammel net (Disco valai/Mani valai). In these nets the shrimp catch rate vary from 2 to 5 kg/unit, while in the trawl net, shrimps form 10 to 15 % of the annual total fish along the Chennai coast. However, an unusual bumper catch of shrimps to a tune of 22.8 t was landed by trammel net at Nochikuppam Landing Centre near Chennai during 10th - 14th December

Spurt in the landings of crabs along northern Tamil Nadu and Puducherry coasts

The marine crab fishery by mechanised trawlers along the north Tamil Nadu (Chennai and Cuddalore) and Puducherry coasts is mainly supported by those belonging to the genera Portunus and Charybdis of the family Portunidae. Species like Portunus sanguinolentus, P. argentatus, P. gladiator, P. pelagicus, Charybdis natator, C. lucifera, C. variegata and Podopthalmus vigil are commercially important. Of these, until the end of October 2008, there were remarkable changes in the landing pattern of trawl fishing along the north Tamil Nadu and Puducherry coasts. The same change of pattern was also seen in indigenous gears such as gillnet, operated near the shore, locally called as Nandu valai and Kallu valai in the depth range of 5 – 10 m. In multiday long voyage trawl fishing, crabs were caught in deeper waters up to 100 m. In single day fishing, the fishermen operated up to 50 - 60 m. In the crab exploitation there was heavy landings of P. sanguinolentus and other portunid crabs along the Tamil Nadu coast, while other fish categories were poorly caught during the period. A brief account of unusual heavy landings of the portunid crabs is reported here

Trophic level of fishes occurring along the Indian coast

Data on the trophic level (TrL) of 707 species of exploited finfishes, crustaceans and cephalopods along the Indian coast were collected from different sources. The TrL ranges from 2.0 to 4.7 and the mean TrL is 3.5. The mean TrL of pelagic finfishes is 3.68, and the TrL decreased towards demersal habitat (3.44). A strong positive correlation exists between maximum body length of finfishes and TrL. The mean TrL of exploitation was 3.25. The complexities of assigning TrL values are discussed

First report on the occurrence of the silky shark, Carcharhinus falciformis (Müller & Henle, 1839) in commercial landings along the east coast of India

Silky sharks Carcharhinus falciformis (Müller & Henle, 1839) are large oceanic sharks, known to be circumtropical in distribution, occurring mostly in the subtropics between 40æ%N and 40æ%S. They are highly migratory, known to inhabit continental and insular shelves and slopes, deep water reefs, and the open sea. They are also occasionally sighted in inshore waters. They are solitary in nature and are often found near schools of tuna, increasing the chances of forming a bycatch of tuna fisheries. These sharks have been reported in the fishery only along the southwest coast of India, and were recorded in small numbers at Cochin during 2000-2002. In 2010 however, this species formed about 16.3% of the shark landings at Cochin. In spite of this, these sharks have not formed a fishery along the east coast

Quantitative changes in bottom trawl landings at Kasimedu, Chennai during 1998-2007

During the period 1998-2007, an annual average of 20,898 t of marine resources was landed by trawlers at Kasimedu, Chennai, by expending a mean annual effort of 35,608 units. The annual catch during 1998-2007 showed fluctuations between 12182 t in 2005 and 35,838 t in 2002. The mean annual effort of 13.21 lakh h in 1998 dropped down to 5.08 lakh h in 2007; mean annual catch declined from 36,364 t in 1998 to 17,293 in 2007. Catch per hour (CPH) increased from 27.51 kg in 1998 to 33.98 kg in 2007, in spite of reduction in both. Multiday trawl units which formed only about 8% of the annual operational units during 1989-’91, accounted for 39% and 31% of the operational units in 1998 and 2006, respectively. Seasonal abundance of catch indicated that maximum catch was landed during the third and fourth quarters of the year, which contributed to 34.2% and 25.1% of the annual average catch during 1998- 2007. Demersal finfish resources contributed maximum (38.1%) to the annual average catch during the period 1998-2007 followed by pelagic finfish resources (25.4%), crustacean resources (15.1%) and cephalopods (5.6%). Miscellaneous finfishes and shellfishes accounted for about 15.8% of the catch. The resources that regularly contributed to the bulk of the catch were elasmobranchs, carangids, threadfin breams, silverbellies, ribbonfishes, tunas, goatfishes, lizardfishes, croakers, barracudas, clupeids, whitebaits, snappers, shrimps, crabs and cephalopods