Call For Paper : June 2016 #IJSRD

IJSRD call for paper 2016

#SAL #IJSRD #National Conference #Conference in Ahmedabad

National Conference #ijsrd #Ejournal # ijsrd journal

“NATIONAL CONFERENCE ON ICT”

Transforming ICT to IoT

In association with

IJSRD – International Journal for Scientific Research & Development

SAL Institute of Technology & Engineering Research, affiliated to the Gujarat Technological University, Ahmedabad., is organizing 1-day event named “National Conference on ICT”  on 20th January 2016 in association with IJSRD.
The conference aims to provide an opportunity to teachers/mentors/ educators and students to acknowledge, celebrate and showcase research being carried out by students by enabling them to engage with the wider communities to exchange ideas and share intellectual activity through paper presentations sessions. The event shall feature research papers presentations by eminent educators and students from all over India in the field of ICT (Information and Communication Technologies) & IoT (Internet of Things). 
Researchers working on IoT and ICT can submit their papers under following themes of conference.

1. Pedagogy for effective use of ICT in Engineering Education.
2. IoT for everyday life.
3. IoT for smart house.

Chief Patron
Er. Shri Rajendra Shah
Patron
Dr. Rupesh P. Vasani Ms. Neelima Shah Ms. Pooja Shah
Convener
Dr. S. G. Desai
Coordinators	Technical Committee
Prof. Vijay Gadhavi (SALITER) Prof. Dushyant Rathod (SCE) Prof. Mayank Parekh (SCE) Prof. Tejas Mehta (SETI)	Prof. Nidhi Barot Prof. Pooja Mehta Prof. Archana Patel Prof. Ankita Gandhi

Click here to download information brochure

ORGANISED BY

SAL Institute of Technology & Engineering Research Opp, Science city, Sola Bhadaj Road, Ahmedabad, Gujarat 380060 Website : www.sal.edu.in

PUBLICATION PARTNER

International Journal  for Scientific Research & Development Website: ijsrd.com

What is Research ? - IJSRD.com

Research comprises "creative work undertaken on a systematic basis in order to increase the stock of knowledge, including knowledge of humans, culture and society, and the use of this stock of knowledge to devise new applications."[1] It is used to establish or confirm facts, reaffirm the results of previous work, solve new or existing problems, support theorems, or develop new theories. A research project may also be an expansion on past work in the field. To test the validity of instruments, procedures, or experiments, research may replicate elements of prior projects, or the project as a whole. The primary purposes of basic research (as opposed to applied research) are documentation, discovery, interpretation, or the research and development (R&D) of methods and systems for the advancement of human knowledge. Approaches to research depend on epistemologies, which vary considerably both within and between humanities and sciences. There are several forms of research: scientific, humanities, artistic, economic, social, business, marketing, practitioner research, etc.

Forms of research

Scientific research is a systematic way of gathering data and harnessing curiosity. This research provides scientific information and theories for the explanation of the nature and the properties of the world. It makes practical applications possible. Scientific research is funded by public authorities, by charitable organizations and by private groups, including many companies. Scientific research can be subdivided into different classifications according to their academic and application disciplines. Scientific research is a widely used criterion for judging the standing of an academic institution, such as business schools, but some argue that such is an inaccurate assessment of the institution, because the quality of research does not tell about the quality of teaching (these do not necessarily correlate totally).

Research in the humanities involves different methods such as for example hermeneutics and semiotics, and a different, more relativist epistemology. Humanities scholars usually do not search for the ultimate correct answer to a question, but instead explore the issues and details that surround it. Context is always important, and context can be social, historical, political, cultural or ethnic. An example of research in the humanities is historical research, which is embodied in historical method. Historians use primary sources and other evidence to systematically investigate a topic, and then to write histories in the form of accounts of the past.

Artistic research, also seen as 'practice-based research', can take form when creative works are considered both the research and the object of research itself. It is the debatable body of thought which offers an alternative to purely scientific methods in research in its search for knowledge and truth.

Source : https://en.wikipedia.org/wiki/Research

Accident Detection System IJSRD

Journal Details : IJSRD - International Journal for Scientific Research & Development| Vol. 2, Issue 02, 2014 | ISSN (online): 2321-0613

Title : Accident Detection System

Author Name : Aswathy James,Nimmy Rose Sam ,Neena K Pius, Jito Tomy Joseph

College Name : Amal Jyothi College of Engg. (Mahatma Gandhi University) Kerala, India

Accidents like falls in people can happen due to reasons like old age, unconscious mind and poor motor control. Such accidents may result in broken or fractured bones, cuts, and even death. Living with the fear of falling leads to isolation, worsening of mental health, and general degradation of quality of living. If the accidents cannot be prevented, the next best option is detecting them accurately, and alerting the required authorities for medical help. This paper introduces an accident detection mechanism with the help of the Smartphone. Smartphone’s gather the information using the Built-in tri-accelerometer and the data obtained from the accelerometer are analyzed using the displacement based algorithm. On detecting an accident, the user is prompted to respond and can use touch or voice recognition to reduce the false positives. If the user is not responding within a period of time, the application generates alerts like emails and text messages and alerts the predefined contacts. If any unconscious situations occur, the user can press the panic button and the appropriate message/audio/video/image will be sent to the predefined contacts.The system also provides the hospitality facility.That is by providing the details of the nearest hospital.

EXISTING SYSTEM AND DRAWBACKS:

Current Methods for Automatic Fall Detection includes the following. Falls that occur in isolation, immediate help by detecting it quickly and accurately is an important factor. 

For this purpose Personal Emergency Response Systems which will detect the fall by generating alerts. It will also reduce the time between the fall and the arrival of the medical attention. PERS uses pendant for the alert generation but it will not work if the person is unconscious. 

In order to classify the fall automated fall detecting systems use one of the three methods which include Vibration recognition,image recognition,worn devices. 

Vibration recognition: It contains a device which is inplanted on the groundor floor in order to monitor sound or the vibration.By comparing the vibration frequency it is easier to identify the fall. 

Image recognition: This is done by placing a camera in a fixed location and the movement patterns are recorded.The system adapts to the locations in which a single human enters/exits the room and remains inactive (lying/sitting on bed/chair). Common paths from entry points to inactive areas are then traced and remembered. It suspects a fall if a person becomes inactive in the middle of a common path. It have the disadvantages such as if the person is outside the monitored area the system become ineffective. 

Worn Devices: In this the user need to wear external sensors and it will uses a tri-axial accelerometer. If a specific pattern or threshold is broken, the device alerts a wireless receiver, which then alerts emergency contacts. It also faces some problems such as inconvenience and affects the daily activities of the life. 

Recognition by acceleration threshold: This system detects fall condition by analyzing acceleration data from an accelerometer. If the amplitude of the acceleration crosses the lower and upper thresholds and if there is a change in position then fall condition is detected. 

For Full Length Paper Visit http://www.ijsrd.com/Article.php?manuscript=IJSRDV2I2256

Special Issue For Data Mining #ijsrd

Dear Researchers/Authors,

IJSRD is promoting a new field of this Digital Generation-“Data Mining”. 

In accordance to it IJSRD is inviting research Papers from you on subject of Data Mining. This is under special Issue Publication by IJSRD. In addition to this authors will have a chance to win the Best Paper Award under this category.

To submit your research paper on Data Mining Click here

What is Data Mining..?

Data mining (the analysis step of the "Knowledge Discovery in Databases" process. The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use.

The actual data mining task is the automatic or semi-automatic analysis of large quantities of data to extract previously unknown, interesting patterns such as groups of data records, unusual records and dependencies.The Knowledge Discovery in Databases (KDD) process is commonly defined with the stages:

(1) Selection
(2) Pre-processing
(3) Transformation
(4) Data Mining
(5) Interpretation/Evaluation.

To know more…….

Data mining involves six common classes of tasks:

Anomaly detection (Outlier/change/deviation detection) – The identification of unusual data records, that might be interesting or data errors that require further investigation.

Association rule learning (Dependency modelling) – Searches for relationships between variables. For example, a supermarket might gather data on customer purchasing habits. Using association rule learning, the supermarket can determine which products are frequently bought together and use this information for marketing purposes. This is sometimes referred to as market basket analysis.

Clustering – is the task of discovering groups and structures in the data that are in some way or another "similar", without using known structures in the data.

Classification – is the task of generalizing known structure to apply to new data. For example, an e-mail program might attempt to classify an e-mail as "legitimate" or as "spam".

Regression – attempts to find a function which models the data with the least error.

Summarization – providing a more compact representation of the data set, including visualization and report generation.

Application Areas….

Games

            They are used to store human strategies into databases and based on that new tactics are designed by Computer ( in association with Machine Learning, Artificial Intelligence)

Business

            Businesses employing data mining may see a return on investment. In situations where a large number of models need to be maintained, some businesses turn to more automated data mining methodologies.In business, data mining is the analysis of historical business activities, stored as static data in data warehouse databases. The goal is to reveal hidden patterns and trends. Data mining software uses advanced pattern recognition algorithms to sift through large amounts of data to assist in discovering previously unknown strategic business information. Examples of what businesses use data mining for include performing market analysis to identify new product bundles, finding the root cause of manufacturing problems, to prevent customer attrition and acquire new customers, cross-selling to existing customers, and profiling customers with more accuracy.

Science and engineering

            In recent years, data mining has been used widely in the areas of science and engineering, such as bioinformatics, genetics, medicine, education and electrical power engineering.

Human rights

            Data mining of government records – especially records of the justice system (i.e., courts, prisons) – empowers the revelation of systemic human rights infringement in association with era and publication of invalid or deceitful lawful records by different government organizations

Medical data mining

            Some machine learning algorithms can be applied in medical field as second-opinion diagnostic tools and as tools for the knowledge extraction phase in the process of knowledge discovery in databases.

Spatial data mining

            Spatial data mining is the application of data mining methods to spatial data. The end objective of spatial data mining is to find patterns in data with respect to geography. So far, data mining and Geographic Information Systems (GIS) have existed as two separate technologies, each with its own methods, traditions, and approaches to visualization and data analysis. Data mining offers great potential benefits for GIS-based applied decision-making.

Temporal data mining

            Data may contain attributes generated and recorded at different times. In this case finding meaningful relationships in the data may require considering the temporal order of the attributes.

Sensor data mining

            By measuring the spatial correlation between data sampled by different sensors, a wide class of specialized algorithms can be developed to develop more efficient spatial data mining algorithms.

Visual data mining

            During the time spent transforming from analogical into computerized, vast datasets have been created, gathered, and stored finding measurable patterns, trends and information which is covered up in real data, with a specific end goal to manufacture prescient formations(patterns).

Russian Millionaire is Taking Artificial Intelligence to the Next Level

#IJSRD Research Update

VISIT : http://www.newsweek.com/2015/04/24/russian-millionaire-ready-lift-artificial-intelligence-above-human-322939.html#