Dhananjay Kalbande

Gesture detection system using smart watch based motion sensors

We are about to step into a world where we would be surrounded by a large number of extremely smart wearable devices. Most of them can be considered motion capture devices in disguise owing to the sheer number and quality of sensors they possess. These devices are capable of providing data like linear acceleration, angular velocity, gravitational acceleration, compass heading, pressure and temperature with an update rate that is just enough to be interesting and useful, yet cheap and easy to acquire. We are further seeing incredible innovation in motion tracking chips present in cell phone that provide better and always-on data with minimal impact on battery life. Innovations like the Motorola X8 architecture and the Apple M7 chip are now the torch-bearers for the next era in motion tracking. It would be a waste if all this real-time data is only used by the cellphone or the smart watch that generates it. There is a whole host of amazing applications that can be conceptualized if this data is used to interact and control our computers and other devices. This paper demonstrates one such project that aims to develop ways to conveniently send and process this data to create innovative controls for computers and other common devices. However, there are various challenges we have to deal with when using such sensors. These include: high level of noise in the sensor readings, time delay in sending sensor data to the computer, detecting and ignoring unintentional actions. As our work progresses, we aim to find practical solutions to these problems.

An Advanced Technology Selection Model using Neuro Fuzzy Algorithm for Electronic Toll Collection System

Selecting an optimum advanced technology system for an organization is one of the most crucial issues in any industry. Any technology system which makes business process more efficient and business management more simplified is one of the important Information System (IS) to the organization. The comprehensive framework is a three-phase approach which introduces two main ideas, one is the adopting of the McCall software quality model which is extracted from technology management essentials, and use the factors of McCall software quality model to be some of the technology selection criteria. Another major point is implementing and proposing a model based on this research using Neuro-Fuzzy algorithm to evaluate advance technology selection. This paper includes the concept of a new multi attribute selection process which combines both the Fuzzy logic (linguistic) and Neural network (integral valuation) methodology to evaluate or estimate a technology for Electronic Toll Collection System. Managers will be able to use this model for selecting a new technology in to their organization.

Review of mobile data offloading through Wi-Fi

Recently, there has been a tremendous increase in mobile data usage with widespread proliferation of smartphone like devices and increasing popularity of video streaming services such as Youtube. This is already causing overloading of 3G cellular access networks. It is estimated that even the 4G LTE technology which has significantly higher spectral efficiency than 3G will face overloading in near future. As a result, it has become important to find out ways and means of offloading the traffic from the LTE network. One possible solution is offloading the mobile data traffic from the LTE to the Wi-Fi to gain extra capacity and improve overall network performance and per user throughput. In this paper we review the architectural aspect of mobile data offloading from LTE to trusted Wi-Fi access networks. We also review the various offloading strategies that can be used by the operator and performance parameters that can be used to compare offloading in various scenarios.

Digital forensic framework using feedback and case history keeper

Cyber crime investigation is the integration of two technologies named theoretical methodology and second practical tools. First is the theoretical digital forensic methodology that encompasses the steps to investigate the cyber crime. And second technology is the practically development of the digital forensic tool which sequentially and systematically analyze digital devices to extract the evidence to prove the crime. This paper explores the development of digital forensic framework, combine the advantages of past twenty five forensic models and generate a algorithm to create a new digital forensic model. The proposed model provides the following advantages, a standardized method for investigation, the theory of model can be directly convert into tool, a history lookup facility, cost and time minimization, applicable to any type of digital crime investigation.

Use of Internet of Things (IoT) in Healthcare: A Survey

In todays world of connectivity, with the advancement of Internet of Things (IoT) all entities are connected to each other by some communication means. The Internet of Things for the medical equipment will produce data that can go a long way in not only increasing equipment efficiency, but also patient health. The Internet of Things (IoT) is increasingly being recognized by industry and different services mainly in healthcare. This paper describes the various Internet of Things (IoT) enable devices and its practices in the area of healthcare for toddler, children, chronic care, monitoring of critical patients, operation theaters and medicine dispenser.

Web service selection based on QoS using tModel working on feed forward network

This paper address the selection of web services using tmodel of SOA which is designed using feed forward network. This construction will be done using XML language. Ontology provides a terminology about concepts and their relationships within a domain along with the activities taking place in that domain, and the theories, elementary principles governing that domain. Using supervised learning method of feed forward neural network, ontologies of different domain can be matched. Feed forward neural network can be used for pattern matching with back propagation techniques. Pattern defined here will be quality parameter. This quality parameter can be selected using tModel structure of UDDI. Web service Provider present in UDDI can differentiate services using Quality categorization by labeling the qualities i.e. performance, security. This differentiation be done using QoS ontology for service Identification. The registered service descriptions by the service provider contain the semantic profile and QoS parameters. ANN matching model consists of training phase and matching phase based on ontology domain.

Survey of texture based feature extraction for skin disease detection

Skin diseases are most common form of infections occurring in people of all ages. As the costs of dermatologists to monitor every patient is very high, there is a need for a computerized system to evaluate patients risk of skin disease using images of their skin lesions. Many researchers have used different preprocessing, segmentation and classification techniques to determine whether a skin image suffers from diseases or not. Feature extraction is very important for predictive modeling applications. Feature extraction in image processing is a method of capturing visual content of images for indexing and retrieval. Primitive image features can be either general features, such as extraction of color, texture and shape or domain specific features. Texture based features are widely used in image analysis for medical diagnosis. This paper presents a comprehensive survey of texture based feature extraction for detection of skin diseases and proposes a system based on the findings.

Machine learning approach for predicting bumps on road

In todays days, due to increase in number of vehicles the probability of accidents are also increasing. The user should be aware of the road circumstances for safety purpose. Several methods requires installing dedicated hardware in vehicle which are expensive. so we have designed a Smart-phone based method which uses a Accelerometer and GPS sensors to analyze the road conditions. The designed system is called as Bumps Detection System(BDS) which uses Accelerometer for pothole detection and GPS for plotting the location of potholes on Google Map. Drivers will be informed in advance about count of potholes on road. we have assumed some threshold values on z-axis(Experimentally Derived)while designing the system. To justify these threshold values we have used a machine learning approach. The k means clustering algorithm is applied on the training data to build a model. Random forest classifier is used to evaluate this model on the test data for better prediction.

Comparative analysis of carrier sense multiple access and carrier sense multiple access with shortest first

Wireless sensor network consists of thousand of tiny sensor node. Node near base station has heavy load due to load from several surrounding sensor node. Hence, Node near base station use CSMA to forward data to base station. CSMA/SF is addition of priority to CSMA. This Paper compare CSMA and CSMA/SF for reducing energy consumption of sensor node to ameliorate lifetime of wireless sensor network using Network Simulator 3. It also comprises theoretical analysis to prove energy consumption reduction in carrier sense.

Solving Enterprise Solution Complexity in SCM Domain through Business Process Agility

Agility is the change in requirement based on the environmental factor. In an enterprise solution, different applications are working as per the organizations business areas. Based on the domain, many enterprises developed insubstantial enterprise software solution. Different business process in enterprise solution can face problems with changing business conditions. This paper shows different types of agility in supply chain management system. In SCM, different business process as per the architectural level help to find affecting agility. Different type of agility in an enterprise solution helps to find the affecting agile parameter. This case study helps to identify kaizen concept based process agility also to improve business agility. Enterprise solution complexity can be solved by resolving the process as per domain.