Saturday, 7 January 2017

Affective Computing in the Design of Interactive Systems

Vol. 2  Issue 2
Year: 2015
Issue:May-Jul
Title:Affective Computing in the Design of Interactive Systems
Author Name:Tom Page
Synopsis:
This research explores how such familiar notions can successfully translate onto interactive systems; providing profound and emotional design experiences without the necessity for a physical chassis. An online survey facilitated the acquisition of a consumer voice regarding levels of engagement with various interactive devices. It also explores consumer understandings of privacy and data collection. A series of interviews was conducted with professionals in the UX industry, adding context to affective implementation within commercial environments. Furthermore, these discussions address the benefits of implementing emotional design experiences interactively and the privacy concerns this surface. The research concludes with an overview of how affective computing methodology - in conjunction with consumer engagement - can be used in the creation of profound experiences whilst using interactive systems. It also explores the issues which arise with its implementation; specifically privacy and implicit data collection. Recommendations for further study in this field are provided based on the research discussion and findings.

Remote Virtual Assistant Using Whatsapp

Vol. 2  Issue 1
Year: 2015
Issue:Feb-Apr 
Title:Remote Virtual Assistant Using Whatsapp
Author Name:Nilesh S. Hinge, Sajan M. Talekar, Pooja P. Hande, Ashwini S. Thorbole and Shubhangi P. Edake
Synopsis:
These days in a world of instant services and faster internet, we require everything very fast. In the world of instant messaging, there is a service called WhatsApp, which is the most popular messaging app. Using WhatsApp API, the authors are trying to develop a Remote virtual assistant (Virtual robot) which will provide various services to WhatsApp users. A Remote Virtual Assistant, can fastly access multiple services such as finding Railway PNR Status, Checking Result of Students, Checking rating for particular movie, sending Instant SMS message to non WhatsApp users, and so on. Also, they have added a feature into this Assistant using which, WhatsApp can be used as a command interpreter of server, and so one can access any server remotely just using WhatsApp. This Assistant can chat like a friend, and by added integration of a CLEVER chatting bot with this project, we can make this assistant one of your friend.

Android Application for E-Card Transaction Using NFC

Vol. 2  Issue 1
Year: 2015
Issue:Feb-Apr 
Title:Android Application for E-Card Transaction Using NFC
Author Name:A. Saranya, S. Vishnupriya, S. Sathyapriya, B. Pradeepa and N. Rajganesh
Synopsis:
People continuously try to improve their quality of life with respect to modern trends. Payment method using physical credit card is usual and it is not comfortable to undertake all the time. Modern technology computerizes everything and reduces the usage cost with the maximum user satisfaction. For the sophisticated use of credit card, there is a need to computerize it in our smartphones using Near Field Communication (NFC). The NFC is a new secure short-range wireless connectivity technology, which can play an important role on this kind of issue. It uses a secure element, and hence it stores the data in a secure manner. NFC technology can store multiple virtual credit cards in the secure element, and prevents skimming, and loss of credit card. In this paper, an android application which performs credit card transaction between the NFC enabled devices [Mobile–credit card machine] have been demonstrated. It enable the users to securely store their multiple virtual credit card and allows to perform transaction with NFC enabled POS terminal.

Energy Efficient Clustering with Mobile Data Collection in Wireless Sensor Networks

Vol. 2  Issue 1
Year: 2015
Issue:Feb-Apr 
Title:Energy Efficient Clustering with Mobile Data Collection in Wireless Sensor Networks
Author Name:S. Kalaivani, C. Gomathi and N. Santhiyakumari
Synopsis:
The Wireless Sensor Networks consist of static sensors, which can be deployed in a wide environment for monitoring applications. While transmitting the data from source to static sink, the amount of energy consumption of the sensor node is high. This results in improved lifetime of the network. Some of the WSN architectures have been proposed based on mobile elements such as three-layer framework is for mobile data collection, which includes the sensor layer, cluster head layer, and mobile collector layer (called SenCar layer). This framework employs Distributed Load Balanced Clustering and Dual Data Uploading, it is referred to as LBC-DDU. In the sensor layer, a distributed Load Balanced Clustering (LBC) algorithm is used for sensors to self-organize themselves into clusters. The cluster head layer use inter- Cluster transmission range which is carefully chosen to guarantee the connectivity among the clusters. Multiple cluster heads within a cluster, cooperate with each other to perform energy-saving in the inter-cluster communications. Through this transmissions, cluster head information is send to the SenCar for its moving trajectory planning. This is done by utilizing Multi-User Multiple-Input and Multiple-Output (MU-MIMO) technique. Then the results show each cluster has at most two cluster heads. LBC-DDU achieves over 50% energy saving per node. The 60% energy saving on cluster heads comparing with data collection through multi-hop relay to the static data sink. The 20% shorter data collection time compared to traditional mobile data gathering.

Friendbook: A Semantic Based Friend Recommendation System

Vol. 2  Issue 1
Year: 2015
Issue:Feb-Apr 
Title:Friendbook: A Semantic Based Friend Recommendation System
Author Name:Yashaswini S.
Synopsis:
Existing social networking services recommend friends to the users based on their social graphs, which may not be the most appropriate to reflect a user's preferences on a friend selection in their real life. Friendbook is a novel semanticbased friend recommendation system, which recommends friends to the users based on their lifestyles instead of social graphs. By taking advantage of sensor-rich smartphones, Friendbook discovers life styles of users from user-centric sensor data, measures the similarity of lifestyles between users, and recommends friends to the users if their life styles have high similarity. User's daily life is recorded as life activities, from which his/her life styles are extracted and further get stored in the cloud. Similarity metric is used to measure the similarity of life styles between users, and calculate users' impact in terms of life styles. When entering the friend recommendation system, Friendbook returns a list of people with highest recommendation scores to the query user. Finally, Friendbook integrates a feedback mechanism to further improve the recommendation accuracy. The idea is to implement Friendbook on the Android-based smart phones, and evaluate its performance on both small-scale simulations.

Applications of Wearable Technology in Elite Sports

Vol. 2  Issue 1
Year: 2015
Issue:Feb-Apr 
Title:Applications of Wearable Technology in Elite Sports
Author Name:Thomas Page 
Synopsis:
Wearable technology and biometrical data analysis have been around for a number of years within the Elite sports sector. In the last decade, significant progress has been made in the professional sports market; to the extent that many of the biometrics used by athletes are now available for consumers. The paper will focus primarily on four topics; the extent to which data from the wearable devices can be of benefit to the coaches and athletes; to what extent wearable devices can optimise training; the extent to which wearable technology could prevent injury; and also take a look at what the future holds for elite level wearable technology. Insights gathered include how the data provided by the wearable devices could benefit the health and well-being of an athlete. The data fed back to the coaches and medical staff could enable early detection of an injury and hence training could be adjusted accordingly. Furthermore, the data enables the athlete to monitor themselves and therefore, benchmark themselves against others and identify areas for improvement.

Security Profiles With Fine-Grained Policies On Smartphone

Vol. 1  Issue 4
Year: 2015
Issue:Nov-Jan
Title:Security Profiles With Fine-Grained Policies On Smartphone
Author Name:A. Malathy, T. A. Vijayalakshmi, V. Kumar, I. Rajesh and M. Banuchitra 
Synopsis:
Smart Phone is a single device that can be used in different environments, where corporate data and applications in it, are separated from the personal data and applications. Data and applications are stored in different compartments. Security profiles are created and applications are assigned to it. In general, access to data and applications will be implemented by a set of regulatory principles. In the case a Smartphone gets stolen and a third person tries to steal sensitive information it is currently prove to breach of the security system. To overcome this problem a new system is proposed. The user can protect their sensitive data and applications from hackers with the help of the security profiles they created and the profiles will be enabled automatically based on the location. If a third person tries to change the profile manually, the system may ask for security code. If he gives wrong code more than five times then the data will be deleted from the internal memory of the Smartphone. Hence data is secured and protected by means of the security profile.