The Schiff base complexes Zr(IV) and Th(IV) of furan 3- carboxaldehyde and 3- amino pyridine were
synthesized and characterized by elemental analysis, conductivity measurements, infrared spectral
measurements, XRD and antibacterial studies. The conductance measurements indicate that all the
complexes are non-electrolytes. The results indicate that the metal complexes of Zr(IV) and Th(IV) are
octacoordinated and have moderate antibacterial activity

Trajectory data is ubiquitous in many real time areas. Sequential collections of movements of objects is
called trajectory. Trajectory data clustering is one of the most important and useful area of many modern
trajectory data applications. Trajectory data represents the actual mobility of a diversity of dynamically
moving objects, such as people, flights, birds, vehicles and animals. Many techniques have been
proposed in the literature of trajectory data mining for processing, managing and mining trajectory data
in the past. Most important tasks of trajectory data mining are - trajectory data preprocessing, trajectory
data management, and also different varieties of trajectory data mining tasks such as trajectory pattern
mining, outlier detection, and trajectory classification. Time complexity of many clustering data
algorithms is O(n2
). A new trajectory similarity measure is proposed for clustering trajectory data sets.
The time complexity of proposed trajectory data clustering algorithm is O(n) which is very much better
than time complexities of many real time clustering algorithms

To reduce the man power for irrigating the field. To minimize the wastage of water used for irrigation. To
save the electricity cost by operating the water pumping motor by utilising solar power. At power supply
unit, Z-Source converter is used to supply regulated supply with snubber to reduce the voltage drop due to
leakage inductance and to achieve less switching loss. The simulation is done with MATLAB and hardware
prototype is developed and tested successfully. The irrigation process is completely automated by using the
Arduino Mega microcontroller with GSM module for sending the current status to the farmer. Solar is the
major renewable source in India, is converted into electrical energy for supplying the entire system. Various
sensors are used to measure the physical parameters in order to control flow of water to the field. The sensed
signals are sent to the Arduino Mega to ON/OFF the DC motor pump set. GSM will give us information
about the current status of the motor pump set i.e. whether the motor is in ON or in OFF state. In this
proposal the water flow to field is improved by sensing the rainfall by using rain sensor. When the rain fall
happens, the motor-pump set is switched off to save, both the water and electrical energy.

Predicting the objective of internet users contains different applications in the areas such as e-commerce,
entertainment in online, and several internet-based applications. The integral section of classifying the
internet queries based on accessible features such as contextual information, keywords and their semantic
relationships. This research article aims in proposing Adaptive Feature Selection based Penta Layered
Artificial Neural Network Classifier for web interaction mining. Around 31 participants are chosen and
given topics to search web contents. Parameters such as precision, recall and F1 score are taken for
comparing the proposed AFS-PLANN classifier with the ANN and PLANN. Results proved that the
proposed classifier attains better performance than that of the conventional ANN and PLANN.

Combining ability effects were estimated in line x tester crossing programme for five characters involving
four lines and three testers in Triticum durum. It revealed preponderance of non-additive gene action for
protein content, sedimentation value, Pelshenke value, DBC value and Lysine content, which suggests
scope for improvement of these characters through heterosis breeding and transgressive segregants for
evolving high yielding superior genotypes. PBW 343, HD 2687 and UP 2338 among tester and Diamond
Bird, RL 6077, Pavon 76 and Webstar among lines were evaluated as good general combiners. Among
hybrids, PBW 343 x Diamond Bird, HD 2687 x Pavon 76, PBW 343 x Webstar, were the most promising
ones as they had high SCA effect and GCA effects for Protein content and its component characters. An
attempt of multiple crosses with the use of all the above good general combiners would lead to obtain
transgressive segregants for yield in advanced generations.

A big parallel processing job can be delayed substantially as long as one of its many tasks is
being assigned to an unreliable or congested machine. To tackle this so-called straggler problem, most
parallel processing frameworks such as MapReduce have adopted various strategies under which the
system may speculatively launch additional copies of the same task if its progress is abnormally slow
when extra idling resource is available. In this paper, we focus on the design of speculative execution
schemes for parallel processing clusters from an optimization perspective under different loading
conditions. For the lightly loaded case, we analyze and propose one cloning scheme, namely, the Smart
Cloning Algorithm (SCA) which is based on maximizing the overall system utility. We also derive the
workload threshold under which SCA should be used for speculative execution. For the heavily loaded
case, we propose the Enhanced Speculative Execution (ESE) algorithm which is an extension of the
Microsoft Mantri scheme to mitigate stragglers. Our simulation results show SCA reduces the total job
flowtime, i.e., the job delay/ response time by nearly 6% comparing to the speculative execution strategy
of Microsoft Mantri. In addition, we show that the ESE Algorithm outperforms the Mantri baseline
scheme by 71% in terms of the job flowtime while consuming the same amount of computation resource.

Online social networks (OSNs) have experienced tremendous growth in recent years and become a de
facto portal for hundreds of millions of Internet users. These OSNs offer attractive means for digital
social interactions and information sharing, but also raise a number of security and privacy issues.
While OSNs allow users to restrict access to shared data, they currently do not provide any mechanism
to enforce privacy concerns over data associated with multiple users. Online Social Networks (OSNs),
which attract thousands of million people to use everyday, also greatly extend OSN users‟ social circles
by friend recommendations. OSN users‟ existing social relationship can be characterized as 1-hop trust
relationship, and further establish a multi-hop trust chain during the recommendation process. As the
same as what people usually experience in the daily life, the social relationship in cyberspaces are
potentially formed by OSN users‟ shared attributes, e.g., colleagues, family members, or classmates,
which indicates the attribute-based recommendation process would lead to more fine grained social
relationships between strangers. The import social networking sites are Facebook, Twitter, LinkedIn,
WhatsApp, Google plus. Social networks are constituted Because of its user group‟s common interest
in some social emerging issues. The popular social Networking sites are Facebook, Twitter, LinkedIn,
whatsapp, Google plus etc. which are actually online social networking sites. And mainly the large
amount of online users and their special interests possess great challenges to support recommendation
of friends on social networks for each of the users. However, with the popularity of public cloud
services, the main concern of confidentiality is recognized as the problem even for personal individual
users The proposed Friend Recommendation framework shows good accuracy for social graphs used
as model dataset.

In the Internet of Things (IoT), gadgets acquire and percentage information directly with every other and the
cloud, making it feasible to accumulate, document and examine new information streams quicker and extra
appropriately. That indicates all kinds of interesting possibilities throughout a variety of industries: cars that
feel put on and tear and self-schedule maintenance or trains that dynamically calculate and document projected
arrival instances to ready passengers.
But nowhere does the IoT provide extra promise than inside the area of Smart Healthcare, where its principles
are already being applied to improve get entry to care, increase the exceptional of care and most significantly
reduce the value of care. We‘re excited to peer our embedded technology being used in programs like
telehealth structures that deliver care to humans in faraway locations and tracking systems that offer a non-stop
movement of accurate records for better care choices.
As the era for gathering, analyzing and transmitting facts in the IoT maintains to mature, we‘ll see an
increasing number of exciting new IoT-driven Smart Healthcare programs and structures emerge. Read directly
to learn what‘s occurring now- and what‘s on the horizon-for Smart Healthcare in the age of the IoT.
There‘s no scarcity of predictions about how the IoT is going to revolutionize Smart Healthcare with the aid of
dramatically reducing costs and improving quality. Wireless sensor-based totally systems are at work these
days, gathering affected person scientific facts that became in no way before to be had for evaluation and
handing over care to people for whom care wasn‘t previously on hand. In those ways, IoT-driven structures are
making it feasible to significantly lessen prices and improve fitness through growing the availability and best of
care.

Aim of project is to develop a novel probability model to analyze best redundancy level In terms of path
redundancy, source redundancy and best IDs. The contribution of project is to decide “how many paths
to use and which path to use” in order to tolerate residual compromised node that survive our IDs to
increase the life time of diverse wireless sensor networks. This is especially a critical issue in military
or mission-critical WSN applications. Sensor nodes (SNs) close to the base station (BS) are more
critical in gathering and routing sensing data. In the literature, various schemes have been designed for
preserving critical SNs from energy exhaustion so as to prolong the system lifetime maximization;
however, how to counter selective capture. We propose and analyze an adaptive network management
algorithm with 3 countermeasures to counter selective capture: (1) optimal communication range and
mode adjustment; (2) intra-clustering scheduling and inter-cluster multihop routing scheme; and (3)
voting based intrusion detection. We develop a probability model to reveal the tradeoff between energy
consumption vs. reliability and security gain with the goal to maximize the lifetime of a query-based
WSN.

Current Article is a conceptual research paper to highlight the conception of Neurofinancial decisionmaking dynamics. Researchers have spent a couple of days to comprehend the notion and connotation of
the Neurofinancial decision dynamics. The paper encompasses data from secondary sources. It has been
discerned from the studies undertaken that the Investment Pattern of individuals habitually follow a set of
decision-making processes which are conversed in the present article. The investigation recognizes that
the formal applications and techniques provides a prominent authentication of the brain activities related
with financial decision-making and thus demonstrating the significance of Neurofinance as a successful
and valuable tool for enhanced and ameliorated monetary decisiveness.
The study additionally finds the viability and efficacy of each model considered in this article and
explicates the correlation of the models with Neurofinancial decision-making process. The findings help
towards apprehending the risk preferences and the fortitude during investments. Neurofinance is an
interdisciplinary field that attempts to expose the human decision-making, the neural activity which shapes
the suppositions of the brain, the expertise in processing various alternatives available subsequent to a
specific game-plan.

Analgesic and antipyretic effects of hydroalcholic extract of fruits of Juglans regia (Juglandaceae) were
investigated at doses 150 mg/kg b.w. and 300mg/kg b.w. using acetic-acid induced writhing, hot- plate,
tail-clip, formalin and yeast-induced pyrexia tests. Oral administration Juglans regia hydro-alcholic
extract produced significant (P<0.0001) reduction in no. of writhes induced by acetic-acid. Moreover, in
hot-plate test, Juglans regia hydro-alcholic extract significantly (P<0.0001) raised the pain threshold at
different time of observation (0-60min) in comparison with control. In tail-clip test also the extract
caused a significant (P<0.0001) inhibition of pain at both the doses used. There was a significant dosedependent inhibition of both phases of the formalin induced pain response in mice. Tested on yeastinduced pyrexia in rats, Juglans regia hydro-alcholic extract significantly (P<0.0001) reversed
hyperthermia at either dose. The results of pharmacological tests performed in the present study suggest
that Juglans regia hydro-alcholic extract possesses potent analgesic and antipyretic effects.

Delamination between layers is a dangerous failure mode in fiber reinforced composite laminates. Pure
mode I tests were conducted to determine the interlaminar fracture toughness, using 16-ply DCB
specimens prepared from carbon/epoxy unidirectional fabric, under quasi-static condition. Analysis of the
test specimens in terms of mode I interlaminar critical strain energy release rate, GIc showed good
agreement between data reduction methods based on modified beam theory, compliance calibration, and
modified compliance calibration. The results showed that the measured GIc values at initiation for [0/90]4s
specimens are higher than that of unidirectional [00
]16 specimens.

Dengue infection is an emerging disease and is a major health problem in our country. Globally the
incidence of dengue has increased in the recent years. The WHO estimates that presently about two fifths of
the world population is at risk for this viral infection. In 2013 Kerala registered the highest number of
cases in India. Standard haematological parameters such as platelet count and haematocrit are important
and are part of the biological diagnosis of dengue infection. Therefore, they should be closely monitored.
Liver is one of the major target organs involved in acute dengue virus infections; hepatomegaly and
increased levels of AST and ALT are common manifestations of this infection.This study was undertaken to
determine the Prevalence of dengue cases in Kannur district from October 2016 to April 2017 by IgM
Capture ELISA method and to correlate certain haematological and biochemical parameters in dengue
patients. A total of 380 clinically suspected dengue patients who presented to the hospital for routine
dengue testing were taken for the study. Among the 380 clinically suspected dengue patients, 65 samples
were tested positive for dengue viral infection. Majority of the dengue patients were males. Most of the
dengue patients belong to the age group 21-40 years (55%). Among the dengue confirmed patients,
57%(37) of patients showed platelet count below 100000/cu.mm and had severe thrombocytopenia. Out of
the 65 dengue positive cases, leucopenia were evident in 31 (48%) patients. About 42 (65%) cases and 31
(48%) cases showed increased AST and ALT level respectively

Consumers are the largest economic group in any country. They are the central point of all economic
activity. Everyone is a born consumer, whether he is an industrialist, a producer, a trader engaged in any
profession or service or belonging to any other class. Whether one is a producer or whether he renders a
service, the ultimate object of all production is to ensure consumption of goods and services to the
satisfaction of the consumers. This could be achieved only when the products are of acceptable standard
quality and are not produced and distributed with the only motive of making profits. This idea referred to
the concept of consumer protection. Consumer protection is a group of laws and organizations designed to
ensure the rights of consumers as well as fair trade, competition and accurate information in the
marketplace. In India, consumer protection is specified in The Consumer Protection Act, 1986. Under this
law, Separate Consumer Dispute Redress Forums have been set up throughout India in each and every
district in which a consumer can file his complaint on a simple paper with nominal court fees and his
complaint will be decided by the Presiding Officer of the District Level. The complaint can be filed by
both the consumer of goods as well as of the services. An appeal could be filed to the State Consumer
Disputes Redress Commissions and after that to the National Consumer Disputes Redressal Commission
(NCRDC). The procedures in these tribunals are relatively less formal and more people friendly and they
also take less time to decide upon a consumer dispute. This paper is designed to throw a light upon the role
of Consumer Protection Act, 1986 in protecting the consumers in India

Knowledge of traditional uses of plants or plant based products among the folks or various communities
around the world had been the primary key for many scientific exploration of drug discovery. The plants
of pharmaceutical or medicinal importance are under pressure because of demand and over exploitation.
The current review presents the potential of Grewia, a genera of family Malvaceae sensu lato as an
alternative source for the commercialization of Grewia species based plant products for various purpose.
Traditionally Grewia species were used for the treatment of many disease such as Malaria, Tuberculosis,
Syphilis, Fever etc. Grewia species exhibited low cytotoxic properties. Ethnomedicinally, two species of
Grewia i.e. G. asiatica and G. mollis had been used widely in African and Asian countries and exhibits
future potential for commercialization.

Human civilization was boorish in earth around 5,000 BC, but social miseries are growing day by day.
Matters of news papers and journals are indicating that gradually level of different kinds of negative
behaviour are increasing, which are truly danger for human civilization. Basically mental dissatisfaction is
one of the grass root point of mental misery. But many practices were there in ancient period which are
capable to provide healthy body and fresh mind. Significantly many spiritual and private organizations are
there which are working with the issues of ancient yoga and meditation with different purpose. Many
kinds of changes are reflecting from the behaviour of beneficiaries which are involved with yoga and
meditation. Through the process of self-realization and cleaning through wheel power human are realizing
relaxations easily, it is also one kind of behaviour therapy. Although Indian spirituality is establish with
unique sense and ,“Ashan and Mudra” ((Psychical art) are also mandatory part of “Puja”( like worship)
There reflection was found from the behaviour of beneficiaries but one phenomena is most of the
beneficiaries are belong from elite class family.

Post-Traumatic Stress Disorder (Ptsd):
Post traumatic stress disorder (PTSD) is an
emotional illness that usually develops as a result
of a terribly frightening, life-threatening, or
otherwise highly unsafe experience. PTSD
sufferers re-experience the traumatic event or
events in some way, tend to avoid places, people,
or other things that remind them of the event
(avoidance), and are exquisitely sensitive to
normal life experiences (hyper arousal). Although
this condition has likely existed since human
beings have endured trauma, PTSD has only been
recognized as a formal diagnosis since 1980.
However, it was called by different names as early
as the American Civil War, when combat veterans
were referred to as suffering from "soldier's
heart." In World War I, symptoms that were
generally consistent with this syndrome were
referred to as "combat fatigue." Soldiers who
developed such symptoms in World War II were
said to be suffering from "gross stress reaction,"
and many troops in Vietnam who had symptoms
of what is now called PTSD were assessed as
having "post-Vietnam syndrome." PTSD has also
been called "battle fatigue" and "shell shock."

Internet of things nowadays is transforming into prevalent step by step in our ordinary presence. The
clients are anticipating apply uncommon innovation which incorporates Bluetooth, WLANs based at the
IEEE 802.11 prerequisites et cetera. That licenses them to rate measurements. The purchaser can get
admission to the system to speak with each extraordinary all around and each time utilizing the
correspondence contraptions. Cross-layer format alludes to protocol configuration finished by method for
effectively abusing the reliance among the protocol layers to harvest better group execution as far as
throughput, normal end to stop put off and so on.. On this paper, we're putting forth a study of different
cross-layer recommendations for IoT considering the progressing thinks about in this warm territory.
This bulletin fast the perusers a review of cross-layer idea even as talking about exceptional cross-layer
recommendations given by utilizing specialists.

Foreign direct investment is considered to be the life blood of economic development, especially for the
developing and underdeveloped countries. Foreign Direct Investment has become sin-quo-non for the
economic development of both developed and developing countries. This paper aimed at examining the
impact of foreign direct investment on performance of scheduled commercial banks. Multiple Linear
Regression technique was adopted to study the impact. This paper found that FDI in scheduled commercial
banks has insignificant impact on total business per branch, net profit per branch, total business per
employee, net profit per employee.

Social security has always been an important instrument for securing social and economic justice in a
country. India being a primarily developing country with a vast population requiring a boost from the
government, the role of social security cannot be overemphasized. The economy is made up of three
categories of resources i.e. land, labour and capital, collectively known as „factors of production‟. Out of
these, human resource is the most important. The term „human resource‟ includes a set of individuals who
make up the workforce of a nation. The extent of utilization of other resources depends on the will,
capacity and skill of human resources. Human Resource Development is inevitable for economic
development of a country. HRD deals with all aspects of human development whether they relate to
poverty, education, gender discrimination , denial of human rights, environmental concerns, etc. India has
an abundance of human resources. The total population of our country is over 1.277 billion people. A lot
has been done by our government in the recent years but still a lot more is needed to be done. In India, the
quality of human resources needs to be developed and maintained. Providing „Social Security‟ to people is
one such way of achieving this objective. It is considered as an integral part of development process.
Social security schemes are important for providing a feeling of security among workers and raising their
standard of living. People can plan their future accordingly.
Various social security schemes for the benefit of workers have been framed in India in the form of
various legislations. The various Central Acts on social security have been examined in the light of the
recommendations of 2nd national commission on labour. Relevant amendments have been done in many
of these acts from time to time and the consultation process regarding amendment in few others is still
underway.
Social Security, though not novel, is still an underdeveloped concept for a country where at least 30% of
population continue to live in poverty and where old age is often accompanied by extreme destitution for
many. The current programs covers only a small portion of population and is primarily employer driven,
limiting its scope to help the vast majority of people. Though recently, India‟s Prime Minister Narendra
Modi has launched many social security schemes yet a lot more efforts are required. The flaws in these
Social security measures are required to be dealt with in an appropriate manner

In this paper, to introduce ( i, j)- –continuous maps from a bitopological space (X, 1, 2) into a
bitopological space (Y ,σ1, 2) and study some of their Properties.
2010 Mathematics Subject Classifications: 54A05, 54C08, 54E55

In the developing countries the aim of the e-governance is to ensure transparent,seamless,
secure and authentic flow of information fair. In this context, an attempt was made to analyze the benefits
derived from 'citizen-government' interface through information and communication technology in the
state of Rajasthan, India.
The present paper highlights level of awareness and its usage derived benefits in terms of travel time
waiting time, no. of trips, cost of travel etc. Government using ICT tools to make a significant impact on
the development and growth of the nation. the use of ICT, especially in the e-mitra has been very
successful and most of the users ha

Grid computing is a form of distributed architecture in which large number of computers are connected to
solve a complex problem. In the grid computing model, geographically distributed resources run
independent tasks and are loosely linked by the Internet or low-speed networks. Efficient scheduling
systems are needed to improve the performance of the Grid. Round robin scheduling algorithm (RR) is
designed especially for time sharing system.In real-time embedded systems, scheduling policy is
considered as one of the main factors that affect their performance. It helps to choose the best resource for
executing a task. Round Robin (RR) scheduling algorithm is widely used and its performance highly
depends on a Quantum time Qt, which is a predefined amount of time assigned by CPU to every task to be
executed. However, the performance degrades with respect to an average waiting time (AWT), an average
turnaround time (ATT) and a number of context switches (NCS). This paper presents an Enhanced Round
Robin Technique with variant time quantum to reduce the average waiting time, turnaround time and the
number of context switches in order to improve the overall Grid performance. It also presents a
comparative analysis between existing Round Robin algorithm and the proposed technique based on the
average waiting time, average turnaround time, average response time and number of context switches.

During the quarter century since the birth of the branch of computer science known as
artificial intelligence (Al), much of the research has focused on developing symbolic models of human
inference. In the last decade several related Al research themes have come together to form what is
now known as “expert systems research. The knowledge and inference engine are the two fundamental
and important components of expert system and without these two components it is impossible to
design and develop an expert system . In this paper I study and analyze the knowledge representation
methods namely semantic Net and production systems that are mostly used in modern expert systems.

As of late, the big data rose as a hotly debated issue because of the tremendous development of the
information and communication technology. One of the profoundly anticipated key contributors of the big
data later on networks is the distributed wireless sensor networks (WSNs). In spite of the fact that the data
created by an individual sensor may not seem, by all accounts, to be significant, the general data created
across numerous sensors in the densely distributed WSNs can deliver a significant part of the big data.
Energy-efficient big data gathering in the densely distributed sensor networks is, consequently, a
challenging research area. A standout amongst the most effective solutions to address this test is to use the
sink node's mobility to encourage the data gathering. While this technique can diminish energy
consumption of the sensor nodes, the use of versatile sink presents extra challenges such as deciding the
sink node's trajectory and cluster arrangement preceding data gathering. In this paper, we propose another
versatile sink directing and data gathering strategy through system clustering based on altered desire
expansion technique. Also, we determine an ideal number of clusters to limit the energy consumption. The
effectiveness of our proposal is confirmed through numerical results.

Radio frequency identification (RFID) technology has many applications in inventory management,
supply chain, product tracking, transportation, and logistics. The research issue of practical importance is
to search for a particular group of tags in a large-scale RFID system. Time efficiency is a crucial factor
for search protocol to ensure its execution will not interfere with other normal inventory operations. The
proposed research work will design a novel technique to reduce transmission transparency during search
process, thereby shortening search time.

The technology is getting updating day by day which is making the educated people to easily operate the
mobile phone and using ATMs for daily banking. But it becomes somewhat critical for blind/old people to
operate the mobile phones for using internet banking and while using high security password. The blinds
can be easily trapped when they use the password via a phone or ATM center. This project “Intelligent
Banking Machine for Visually Impaired” will provide an easy method for the blind people to call to
access the need. In this method we are having virtual keypad for selecting the numbers or strings to
require for the high security password. A head set is also used for listening facility. The main advantage
of this thesis compared to the other existing systems are interfacing with microcontroller and it is possible
to monitor and control the devices also. Previously hard keys are used but now a day‟s soft keys are used,
and here it is a virtual keyboard.

The ergonomic safety standards are focused on the interaction between welders and the welding activities.
Welders who perform the welding tasks under heat stress always experience with various types of injuries
such as MSD, CTD, low back pain, skin burns, eyes pain and others. It influences the concentration in
their welding task because of the injuries suffers. The study conducted at DEE PIPING SYSTEM Ltd. for
the ergonomic safety in the welding workshop. The study aimed at enhancing the safety awareness of
users in the welding workshop. The lack of knowledge on ergonomic safety concepts affects the
performance of the welders in their works. The study briefs various postural analyses in welding activities.
The observation method approach has been used. The welding safety awareness checklist has been used to
expose the safety precaution, and to provide suggestions for the work improvement. The various safety
issues have been observed that must be taken care of such as the hazards precaution, personal protective
equipment, workstation, etc. The welding postures must be improved as most of the postures posed were
out of the safe range. The recommendations have been made to introduce the ergonomics concept so that
users may practice healthier life, and avoid injuries while performing welding in welding workshop.

In market basket analysis user ranking of products is very important in addition to the values of attributes of
objects. Similarity based comparison between objects play a very important role in many business operations
such as ranking of objects with respect to the preferences of customers, finding a set of top-k objects in ranking
order, and finding a set of k-nearest neighbor objects in ranking order and so on present study proposes a new
similarity finding measure between objects. This measure computes weighted sums of values of attributes and
priority values of respective values of attributes. These weighted sums are computed using a linear function
formula. Finally a new clustering technique is proposed for clustering market basket analysis products using
newly proposed similarity search measure between two objects new clustering technique based on new
similarity finding measure is very useful in many real time applications and in many very large database
operations including query execution.

We trained a large, deep convolution neural network to classify the 1.2 million high-resolution images in the
Image Net LSVRC-2010 contest into the 1000 different classes. On the test data, we achieved top-1 and top-5
error rates of 37.5% and 17.0% which is considerably better than the previous state-of-the-art. The neural
network, which has 60 million parameters and 650,000 neurons, consists of five convolution layers, some of
which are followed by max-pooling layers, and three fully-connected layers with a final 1000-way soft ax. To
make training faster, we used non-saturating neurons and a very efficient GPU implementation of the
convolution operation. To reduce overfitting in the fully-connected layers we employed a recently-developed
regularization method called ―dropout‖ that proved to be very effective. We also entered a variant of this model
in the ILSVRC-2012 competition and achieved a winning top-5 test error rate of 15.3%, compared to 26.2%
achieved by the second-best entry .

Pulses occupy an important position in world agriculture because of their high protein content, several
essential amino acids and their capacity for fixing nitrogen. Winged bean (Psophocarpus tetragonolobus
(L.) DC.) is one of the most important pulse crop due to its nutritive value and property of maintaining
restoring soil fertility through biological nitrogen fixation. The nutritional value of the winged bean is
mainly due to the various positive attributes carried by its mature seeds. By keeping this view in mind, the
seeds of winged bean variety II-EC-178313 and 2I-EC-38825 were treated with chemical mutagens like
Ethyl Methane Sulfonate (EMS) and Sodium Azide (SA) separately. Mutagenic treatments resulted in
induction of nine types of viable promising mutants inM2 and M3 generations successively.These nine
mutants are early flowering, late flowering, early maturing, chlorina, linear leaflet, flat pod, long pod,
anthostem and high yielding. These mutants were analyzed for quantitative estimation of seed oil
content.This present research work is beneficial for development of improved varieties of winged bean for
oil yielding.

High utility pattern mining can be defined as discovering sets of patterns that not only co-occurs but they
carry high profit. In two-phase pattern mining an apriori algorithm is used for candidate generation.
However candidate generation is costly and it is challenging problem that if number of candidate are huge
then scalability and efficiency are bottleneck problems. As a rule, finding a fitting least utility edge by
experimentation is a monotonous procedure for clients. In the event that min_util is set too low, an
excessive number of HUIs will be produced, which may bring about the mining procedure to be
exceptionally wasteful. Then again, if min_util is set too high, it is likely that no HUIs will be found. In
this paper, we address the above issues by proposing another structure for top-k high utility thing set
mining, where k is the coveted number of HUIs to be mined. Two sorts of proficient calculations named
TKU (mining Top-K Utility thing sets) and TKO (mining Top-K utility thing sets in one stage) are
proposed for mining such thing sets without the need to set min_util. We give an auxiliary examination of
the two calculations with talks on their preferences and restrictions. Exact assessments on both genuine
and manufactured datasets demonstrate that the execution of the proposed calculations is near that of the
ideal instance of best in class utility mining calculations.

Even today; some considerable time after the so called „dot com/Internet revolution‟, electronic commerce
(e-commerce) remains a relatively new, emerging and constantly changing area of business management
and information technology. There has been and continues to be much publicity and discussion about ecommerce. Library catalogues and shelves are filled with books and articles on the subject. However, there
remains a sense of confusion, suspicion and misunderstanding surrounding the area, which has been
exacerbated by the difference contexts in which electronic commerce is used, couples with the myriad
related themes that have arisen from the new area of electronic commerce and to provide and understanding
of its application and importance to management.
In order to understand electronic commerce it is important to identify the different terms that are used, and
to assess their origin and usage. According to the editor-in-chief of International Journal of Electronic
Commerce, Vladimir Zwass, „Electronic Commerce is sharing business information, maintaining business
relationships and conducting business transactions by means of telecommunications networks‟. He
maintains that in its purest form, electronics commerce has existed for over 40 years, originating form the
electronic transmission of messages during the Berlin airlift in 1948. From this, electronic data interchange
(EDI) was the next stage of e-commerce development. In the 1960s a cooperative effort between industry
groups produced a first attempt at common electronics data formats. The formats, however, were only for
purchasing, transportation and finance data, and were used primarily for intra-industry transactions. It was
not until the late 1970s that work began for national Electronics Data Interchange (EDI) standards, which
developed well into the early 1990s.

Complexes of Eu (III) ion with corresponding Schiff bases of sulphanilamide with para Anisaldehyde and
Vanillin were synthesized. Synthesized complexes were characterized by analytical studies, Conductivity
measurements and IR spectra. Non- electrolytic properties of complexes were revealed by Molar
conductivity measurements. IR spectra reveals the coordination of azo methine nitrogen to the metal ion.
Antibacterial screening by disc diffusion method indicates the moderate activity of complexes..

This paper is focused on 6th, 7th and 8th middle school students in general to study the use of social media
in education. The study implemented questionnaire and meant to examine positions of school students and
the use and access of smart devices, social websites in progress, the use of the internet, views of the
impact of social media on education. From the basic characteristics of middle school students, it seems
that the smart phones are the best possible tool to enhance the use of social media in education, almost
65% of students own it, and almost 70% of the students have internet access at their house. The main tool
in the social media applications is whatsapp and it is used almost 85% of middle school students. The
teachers and the students are together willing to use social media in education.

With the emerging knowledge of biochemical composition, cyanobacteria are now considered as one of
the potent group of organisms to be used in different industries. Though rich in diversity, the
cyanobacterial flora of North-Eastern region is yet to be analyzed biochemically. The present study was an
attempt to generate a baseline data for pigments, protein and lipid contents of seven selected species
isolated from Deepor beel, a Ramsar site of Assam.

In developing countries like India, due to remarkable development in road infrastructure , soil
stabilization has become major issue in constructional activity, stabilization is not only a method of
altering or modifying of one or more soil properties to improve the engineering . Characteristics and
performance of a soil ,but also processing available materials for the production of low –cost design
and construction
Black cotton soils which expand when moisture content of soils is increased the clay mineral
montmorillonite is main responsible for expansive characteristics of soil. the expansive soils called
swelling of soils or black cotton soils a large part of south India is covered with expansive soil
another problem with this soil is strength is decreases with increases of degree of saturation heavy
damages may occur buildings roads runways pipe lines and other structures built on such soils if
proper preventive measures are not method. The damages can be prevented to an large extent if
characteristics of expansive soil properly assessed suitable measures taken in design construction and
maintenance of structures built on soils. This presents experimental investigation to study the effect of
sugarcane baggage ash & phosphogypsum on swelling and shrinkage and mechanical properties of a soil.
After finding out the experimental results in lab to know the evaluation and performance of baggage ash on
the black cotton soil in the laboratory
Black cotton soil and baggage ash & phosphogypsum mixture has prepared by varying of
different proportions with respect to dry the density

“When the family is small whatever little they have they are able to share there is peace”
Family Planning is the planning of every individual and couples in their life to decide and attain their
desired number to have children and the spacing and timing of their births. The utilization of birth control
and different procedures to implement different strategies regularly include are to incorporate sex
education, prevention and management. Family Planning is a highly important component of good
preventive medicine. Since a nation’s social and economic development is affected by rapid population
growth, voluntary family planning plays an important role in helping developing the nation. It is well
established that wealth is significantly affected by the Social and Economic setting of an individual,
family and the society in which they live.

The recent trend in the field of semiconducting technology is the fabrication of nanoscaled semiconductor
devices which have diversified applications in various fields of science and technology. In the present study
three different molar concentrations of Ni-doped Tio2 nanoparticles were synthesized using co –precipitation
route. The co –precipitation method, is cost effective and versatile method for the preparation of the above
said nanoparticles.
X-ray powder diffraction study reveals that all the prepared samples of pure Tio2 and nickel doped Tio2 are
crystalline structure. The average crystalline sizes of the preparated samples were calculated using Debye –
scherrer formula and is found to be 19.6 nm.The Particle size for Nickel dopant Tio2 nanoparticles was
found to be between 20 nm to 21 nm. The FTIR can be used for the determination of various functional
groups present in the synthesized nanoparticles. The predominant peaks confirmed the synthesized
nanoparticles to be Tio2 .The nickel doping also confirmed by FTIR studies. The UV blocking property is
reported using UV-visible spectroscopic studies. The energy gap is found to be 3.57ev for pure Tio2 and it
slowly increased to 4.04ev with increase in Nickel content. The surface morphology of the synthesized
powders has been reported using SEM and TEM studies. The particle sizes almost coincided with the
particle size calculated by Debye –scherrer. The effects of metal dopant on the structural and morphological
properties have been reviewed.

The legitimate and systematic account management is the strength for any form of informal and formal
institutions to sustain for a longer period. In this context we can‟t neglect the Self Help Groups and their
accounts management procedures. Involvements of MFIs and NGOs in formation of SHG, book keeping
and also in their capacity building have been evidently proved. Everyone will accept that SHGs have an
inevitable role in book keeping for the maintenance of periodical subscriptions, Voluntary savings,
Internal & External loan Repayment and Disbursement, Cash book and cheque receipt register. But still
there is a gap in maintaining these records which leads to dismantle of group at some stage. Though there
are many reasons for a group to get dismantle, improper book keeping and financial accounting plays the
major role. Basically these SHGs members posses either minimum education or lack education. Hence,
accounting becomes a big challenge for them and the accurate book keeping is the strength for their long
term sustainability. In the light of the above concept, the study is planned to use the primary data‟s
collected from structured questionnaire by interviewing the members of the SHGs as well as from their
records, in the selected urban centers of Thiruvannamali District, in Tamil Nadu. The findings will
suggest for a better accounting system.

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By making use of the Hohlov operator given by
the class of Spirallike functions is introduced. The object of
the present paper is to obtain sharp upper bound for functional
|a2a4 − a
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3
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In this paper we consider the contextual way of handling
array objects in Kernel P Systems.We generate some languages
in contextual array Kernel P systems.Hollow rectangles and
squares are also generated using contextual array Kernel P
Systems.

West Bengal is experiencing a massive urbanization and an unprecedented growth in transport
system. The Government has successfully intervened to decongest the traffic through infrastructure
development. However, road fatalities, air pollution and frequent congestions are a common sight in many
metros of West Bengal. Adding to the chaos is the muddled eco-system of Toto-rickshaws. The informal
economies of Toto-rickshaws are just not a social-economic problem but also a serious ecological concern.
Some of the social-firms have ventured in to bring an eco-balance in the system. This study concentrates on
the current socio-economic condition of Toto-rickshaw drivers, the prospects and problems encountered by
the stakeholders and the role of social organizations in transforming the lives, at large, in Tamluk. Over 90
Toto drivers were surveyed to understand their economic and lifestyle stature, expectations, problems and
need for reforms and surveyed for understanding their perception using sensitivity analysis