“3D TRACKING CAPACITANCE BASED ROS CONTROLLED ROBOT ARM”
Abstract— This paper presents a design procedure of 3d tracking capacitance-based ROS controlled robot arm. A robot operating system (ROS) was modeled to control the robotic arm with 4 degrees of freedom (DOF) to imitate the virtual (Simulation) to reality. ROS is middleware upon which the system can be developed or constructed. The basic controlling operation can be categorized into two sections. The initial process begins with RVIZ simulator control and then control by 3D Cartesian coordinates given by ROS commands to control the arm. The arm covers a quarter of with a radius of 31 cm approximately. Capacitive based 3D tracking mechanism was used to control the robotic arm and update the Simulator by detecting hand gestures. The hand was limited with-in 12 cm cubic .
Keywords– ROS; RVIZ; URDF; Robot Arm; capacitive sensing
Authors- Gunaratnam Pratheepan Auston Institute of Management, Colombo-03, Srilanka, E-mail: firstname.lastname@example.org
” DEEP CONVOLUTION NEURAL NETWORK (CNN) USING A MONOCULAR CAMERA AND A 2D LIDAR FOR ROBUST QUADROTOR OBSTACLE AVOIDANCE “
Abstract— Quadrotor platforms have become a vital tool in the industry as it is being used as the primary go to technology approach across many sectors including law-enforcement, survey, photography, videography, inspection and etc. However, most users in these industries are not trained or certified pilots, hence introducing safety cautions of crashing drones generated by piloting errors in urban environments causing damage to property and human lives. One of the ways to mitigate such crashes is by introducing robust obstacle avoidance capabilities to the drones in manual control mode. We propose a robust combination technique approach for obstacle avoidance on a
Keywords—Obstacle avoidance; Quadrotor; Deep Learning; Aerial Robotics;
Authors- Yuthika Sagarage, J. K.
“ IDENTIFICATION OF ABNORMAL OBJECTS IN LIVE FEEDS IN THE ATM ENVIRONMENT ”
Abstract— The proposed abnormality identification system is developed to identify and detect abnormalities through a live feed in the banking industry, more specifically in an ATM environment. The research begins with the domain research that is concerned with image processing in terms of identifying the different objects and detecting an abnormal object. The research also covers how the system is to be implemented, the techniques and methods used and how each module is integrated to perform efficiently as a whole. All conclusions are made based on the relevancy to the proposed system and project objectives.
Keywords– Abnormalities, Image, Identification, Live feed
A REVIEW ON TECHNOLOGY, ARCHITECTURE, APPLICATIONS, CHALLENGES AND FUTURE VISION OF INTERNET OF THINGS
Abstract—The Internet of Things (IoT) is a technology that enables objects to sense changes and respond involuntarily. It facilitates device to human communication, hence giving birth to the ‘Smart’ concept. The overall objective of conducting this review is to understand the present context of
Keywords-Internet of Things, Sensing as a Service, Smart concept, Service Oriented Architecture, RFID
Authors -V. R.
OPTIMUM THRESHOLDS FOR EFFECTIVE MARKET SURVEILLANCE VIA NOVEL PRICE MODELS
Abstract— Unusual movements in prices may indicate manipulative behavior or be the result of a market anomaly that could serve as a precursor to a sequence of events that could lead to major losses. Detecting these events in order to ensure investor confidence and an efficient market is the province of market surveillance. This paper presents novel methods by which to model prices and place limits on its
Keywords— linear regression; random walk; volatility; market surveillance;
Author – Asoka Korale, Ph.D. London Stock Exchange Technology, Malabe, Sri Lanka, email@example.com
IMPLEMENTATION OF A ROBUST GROUND-STATION FOR LOW EARTH ORBIT (LEO) SATELLITE COMMUNICATION
Keywords—Satellite, Ground Station; Tracking; LEO; TLE
Authors- R.A.D.K. Sampath, J.K.
PILOT RESEARCH PROJECT ON REAL-TIME MONITORING OF RIVER WATER LEVEL AND IRRIGATION MANAGEMENT AT GRAVITY OUTLETS (NILWALA RIVER)
Abstract—Flooding has become a major problem in most of the countries around the world, causing huge damages. It affects the farming community, incurring disturbance to day to day activities, mainly by damaging the farming land and infrastructure. Although there are methods to forecast rainfall or to track storm path precisely from the satellite images in the world, the need for real-time monitored data such as river water level is essential to make a reasonable decision on the actions necessary to prevent flooding in an automated manner. The rivers are usually located in the low lying lands and agriculture productions usually utilize river water in these areas. In wet zone areas due to heavy rain small streams and canals of the main river which are feeding agriculture land gets more water compared to upstream sections. In this situation, Gravity Outlets (GO) come into action where the decision is taken to transfer the water by using gravity or forced pumping, after comparing the upstream water level (riverside) and downstream water level (Yaya or protection side). This system is widely used in Europe. At present, all the pump houses are fixed with river and landside conventional manual gauges to monitor the water level and also to make decisions for pump operation. Since, this is a manual, individual dependent and less reliable system, GO operation is not efficient. It is observed by the Department of Irrigation that one-centimeter level gravity difference can save pumping costs in the order of magnitude. Last few years it has faced more disputes due to less finance allocation from the government for these routine tasks. Paddy fields of farmers and low land residential areas are severely damaged during the flood instances. Through an automated, reliable and quick data providing solution based on the Internet utilizing GPRS (General Packet Radio Switch), information can be delivered to the action points that can streamline the operation of gravity outlets. It will greatly reduce the cost of daily operation and farmer conflict for the Department of Irrigation.
Keywords—Irrigation; SCADA; Flood; GO; GPRS; River; Pumping; Internet
USE OF UNMANNED AERIAL VEHICLE (UAV) PLATFORM FOR 3D MAPPING AND NAVIGATION OF SUBTERRANEAN LANDSCAPE USING 3D LIDAR SENSOR
Abstract— This paper presents the formalization of the hardware and software implementation for an Unmanned Aerial Vehicle which will be used for 3D mapping and real-time 2D obstacle avoidance using a 3D Light Detection and Ranging sensor. The proposed implementation can be used to map and navigate in areas with low visibility, limited or no Global Navigation Satellite System coverage and without any prior information about the site such as
Keywords— UAV, LIDAR, Subterranean Navigation, 3D Mapping
Authors – Malith Kuruppu, Yuthika Sagarage, J. K.
ASSESSMENT OF TURBIDITY OF WATER USING IMAGE PROCESSING TECHNIQUES
Abstract— The research base is to prove the novel concept and a
Keywords-Turbidity; Water; Image Processing, image classification
Authors -Oshadi Thalpawila, Yuthika Sagarage, J. K.
HYBRID ENERGY HARVESTING AND STORAGE FOR WIRELESS SENSOR NETWORK
Abstract- Advanced development of wireless sensor network is comprised in the expansion of the research acquisitions. In case of integration, self-energy harvesting and long-lasting energy management have become
Keywords – WSN, Hybrid energy storage, Hybrid self-energy harvesting, RF Protocol
Authors -Anuradha Jayakody1
BIOMETRIC SMART SECURITY SYSTEM WITH CHILD CARE FOR A SMART SOCIETY
Abstract— This research is mainly focused on Infant movement detection and alerting, in order to enhance their security within the home premises. As the first move, the research focuses on the identification of the human and classifying whether an adult or a baby. Then a model was built up in three classifications to identify static and dynamic positions of the infant, through Image Processing and analysis. In order to enhance the accuracy of the custom classifiers an already trained model using 1 million image set was retrained by customized image sets. To present this research as a smart home solution modern technology were used in implementing the close connection between the infant and the parent.
Keywords— Custom classifiers; Frame analysis; Image Processing; Object detection
Authors -Shashika Lokuliyana1
EATND – IOT BASED SMART ATTENDANCE SYSTEM FOR A SMART CAMPUS
Abstract— Internet of Things (IoT) is the
Keywords— IoT; WSN; RFID; Smart Campus
Authors -Shashika Lokuliyana1
AN INTELLIGENT TRAFFIC SIGN RECOGNITION SYSTEM FOR SRI LANKAN DRIVERS
Abstract—Automatic traffic sign detection and recognition system plays a crucial role in enhancing the safety of road users and of motor vehicles. It provides accurate and timely warning alerts of driving conditions to drivers with a minimal human effort. The effectiveness of such system depends on many factors such as vehicle speed, background complexity, lightning and weather conditions. In this paper, we propose an automatic traffic sign detection and recognition system suitable for Sri Lankan road system. The proposed system consists of two stages, traffic sign detection stage and traffic sign recognition stage. We adopt a Haar Cascade classifier for traffic sign detection and Convolutional Neural Network (CNN) approach for traffic sign recognition. Experimental results demonstrate the effectiveness of the proposed automatic traffic sign detection and recognition system for different vehicle driving speeds
Keywords— automatic traffic sign detection; recognition; haar cascade; convolutional neural network
Authors – I.B Hewanayake 1, A.K.U Ranasinghe 2, A.M.A.L Gunarathne3, C.K.W Seneviratne 4, W.N.B.A Geeth Priyankara 5
A Regulatory framework for a Smart Hydroponics System
Abstract—Climate change is instigating extreme weather events, which include heat waves, droughts, strong winds and heavy rainfall, and these events can impact the availability of water for agriculture. The unpredictable droughts and floods in Sri Lanka have made the production of food crops difficult. Excess water and decreased soil moisture have resulted in a sharp decrease in crop yield. Thus, there has emerged an urgent need to employ new agricultural technics that use less water and nutrients, and which are not easily affected by external environmental variables. Aeroponics is fast becoming an opposite solution to the aforementioned challenges posed by climate change to agriculture. Furthermore, this method of growing crops can be used to grow crops in the space and other planets. However, the technic of growing plants using aeroponics is mechanically convoluted, is vulnerable to malfunction and requires accurate regulation and control of water and nutrients. Ergo, the focus of this research is on constructing an automated system that regulates and monitors the aeroponic system to reduce to a greater extent the challenges this agricultural technic faces in becoming a commercially viable solution to the modern agricultural problems. This will be accomplished by the use of ultrasonic atomizers, pH and EC regulators, gas sensors, temperature regulators, humidity regulators, and a single-board computer, while a mobile app and a web interface will be employed to allow the user to monitor and interact with the system. The user will also be warned in case a malfunction takes place in order to control the amount of damage to the plant.
Keywords— Vertical farming, Hydroponics, Aeroponics, Greenhouse systems, Internet of Things
Authors – Anuradha Jayakody1,Shashika Lokuliyana2,P. D. S. Silva3,V. R. Dunuwila4