Proceeding of the Electrical Engineering Computer Science and Informatics
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Imperceptible Image Watermarking based on Chinese Remainder Theorem over the Edges
Get PDFThis paper introduced a watermarking method using the CRT and Canny Algorithm that able to improve the imperceptibility of watermarked image and preserving the robustness of watermark image as well. The classical CRT algorithm is spread the watermark bits evenly on the image area. It causes significant degradation when the embedding location lies on the least significant region or in the homogeny area. Otherwise, the proposed method embeds the watermark on the edges of the image which have significant difference value to maintain the imperceptibility. The Canny algorithm is used to indexing the embedding location based on the filtering output of host image. The watermark is then embedded into the host image using pair-wise coprime integers of 6 and 11 within the CRT modulo. The results show that the proposed method has significant improvement in the quality of watermarked image with the average value of 0.9995 compared to the CRT method which results in value of 0.9985. In compression and additive noise attacks the CRT has average values of 0.6618 and 0.9750, while the proposed method results in similar values of 0.6616 and 0.9752 respectively. These prove that the proposed method is able to preserve the robustness while improving the imperceptibility
Design of PID Disturbance Observer for Temperature Control on Room Heating System
Get PDFHeat is one of an energy form that can move from a high temperature to a low temperature. This will strongly make the temperature outside of the room affect the temperature in the room. Therefore, the temperature in the room becomes unstable. That is a problem for room heating system which requires a stable indoor temperature output. Because of that reason, so the system needs temperature control method that can reject disturbance that derived from the outdoor temperature. This research will propose a solution that is the use of PID Disturbance Observer (PID-DOB) method for resolving that problem. The tests that we carried out is comparing the PID controller and PID-DOB by simulation with four variation temperature and calculating the performance index by using integral time absolute error (ITAE) criteria. The result showed that the ITAE average for PID is 10.51 and PID-DOB are 1.78. This result showed that PID-DOB controller can be used as temperature control which resists to the varied temperature outside the room
Design Unmanned Aerial Vehicle Integrated Camera Near Infra-red to Observe the Plant Health
Get PDFPlant health is an essential factor to reducethe number of import in a country. In this research, we usepaddy as an example to understand plant health. Ourresearch is motivated by our belief that technology mightaid in reducing chances of failed paddy harvest inIndonesia. To understand the plant health of paddy, wedesigned unmanned aerial vehicle (UAV) integrated pocketcameras to record near infra-red (NIR) light. Apart fromNIR light data, we obtained the normalized differencevegetation index (NDVI) values of paddy to observe theplant health based on the photosystem metabolism thatabsorb red light and blue light and reflects green l ight andNIR light. Based on the test results, the values of NDVI aregiven -0.819672, 0.395018, 0.346667, 0.032680, 0.705628 and0.302817. Based on values of NDVI, we conduct avalidation test with farmers to compare NDVI values wi thactual conditions on the ground. Based on the test, theobtained value of NDVI was in accordance with the actualconditions in the field
FEM Modeling of Squeeze Film Damping Effect in RF-MEMS Switches
Get PDFA very important aspect in the design of RF- MEMS switches, is to obtain low switching time. The switching time not only depends on the device geometric parameters but also on the operating conditions. This paper presents the squeeze film damping effect on the dynamic response of the RF-MEMS switches. The squeeze film damping effect, with and without perforations, on the switching time is analyzed using finite element method (FEM) simulations. The effect of temperature and humidity on the squeeze film damping and switching time is also investigated
Optimizing Effort and Time Parameters of COCOMO II Estimation using Fuzzy Multi-objective PSO
Get PDFThe estimation of software effort is an essential and crucial activity for the software development life cycle. Software effort estimation is a challenge that often appears on the project of making a software. A poor estimate will produce result in a worse project management. Various software cost estimation model has been introduced to resolve this problem. Constructive Cost Model II (COCOMO II Model) create large extent most considerable and broadly used as model for cost estimation. To estimate the effort and the development time of a software project, COCOMO II model uses cost drivers, scale factors and line of code. However, the model is still lacking in terms of accuracy both in effort and development time estimation. In this study, we do investigate the influence of components and attributes to achieve new better accuracy improvement on COCOMO II model. And we introduced the use of Gaussian Membership Function (GMF) Fuzzy Logic and Multi-Objective Particle Swarm Optimization method (MOPSO) algorithms in calibrating and optimizing the COCOMO II model parameters. The proposed method is applied on Nasa93 dataset. The experiment result of proposed method able to reduce error down to 11.891% and 8.082% from the perspective of COCOMO II model. The method has achieved better results than those of previous researches and deals proficient with inexplicit data input and further improve reliability of the estimation method
Evaluation of Knowledge Management System Using Technology Acceptance Model
Get PDFThis study was motivated to assess the Knowledge Management System (KMS) using Technology Acceptance Model (TAM). TAM is the best concept to be taken as model on explaining user attitude of new technology. TAM model used in the study because it has been widely adopted among IT researchers and appears to be growing rapidly, has the reliability and construct validity were established, and realized that the model has not been applied to the acceptance KMS. The data population in this study is the employees in PT. XYZ who have work-related to development and maintenance process. The data analysis was done using Partial Least Squares (PLS). The analysis was proof to be statistically significant: a) perceived ease of use and perceived usefulness, b) perceived ease of use and attitude, c) perceived usefulness and attitude, d) perceived usefulness and behavioral intention to use, e) behavioral intention to use and actual use
Single Frame Resection of Compact Digital Cameras for UAV Imagery
Get PDFRecently, UAVs (Unmanned Aerial Vehicles) gaina wider acceptance from many disciplines. One major applicationis for monitoring and mapping. Flying beyond eye sightautonomously and collecting data over large areas are theirobvious advantages. To support a large scale urban city mapping,we have developed a UAV system which can carry a compactdigital camera as well as a navigational grade of a GlobalPositioning System (GPS) board mounted on the vehicle.Unfortunately, such a navigational system fails to providesufficient accuracy required to process images become a largescale map. Ubiquitous digital compact cameras, despite their lowcost benefits, are widely known to suffer instabilities in theirinternal lenses and electronics imaging system. Hence thesecameras are less suitable for mapping related purposes. However,this paper presents a photogrammetric technique to preciselydetermine intrinsic and extrinsic camera parameters ofphotographed images provided that sufficient numbers ofsurveyed control points are available. A rigorous Mathematicalmodel is derived to compute each image position with respect tothe imaging coordinate system as well as a location of theprincipal point of an image sensor and the focal length of thecamera. An iterative Gaussian-Newton least squares adjustmentmethod is utilized to compute those parameters. Finally, surveyeddata are processed and elaborated to justify the mathematicalmodels
Fall Detection Based on Accelerometer and Gyroscope using Back Propagation
Get PDFFalling is an external aspect that can lead to death for the elderly. With so many activities they can do will increase the likelihood of falling. A fall detection device is designed to minimize post-fall risk. An MPU6050 sensor with 3 axis accelerometer and 3 gyroscope axis is used to detect the activities of the elderly. This research is expected to recognize the falling forward movement, falling aside, falling backward, sitting, sleeping, squatting, upstairs, down stairs and praying. The total data in the test is 80 data per movement of 16 participants. Backpropagation method is used for motion recognition. The recognition of this movement is based on 10 input variables from the accelerometer sensor data and gyroscope sensor. The result of this study, the error value calculated by using the formula Sum Square Error of all movements, is 0.1818 with ROC accuracy of 98.182%
Discovering Drugs Combination Pattern Using FP-growth Algorithm
Get PDFA drug can be used to deal more than one diseases and to deal an illness often need a combination of more than one drugs. This paper present how to discover a pattern of a combination of medicines related to a diagnosis of diseases using FP-Growth one of frequent pattern mining algorithm. We use FP- Growth because it has better performance than Apriori and Eclat. Data is collected from outpatients pharmacy of Sukoharjo state hospital, Central Java, Indonesia during January 2015 to June 2016 and obtain 526,195 records of prescription data and use a diagnosis of diseases base on the ICD-10 standard. This studies just apply on the top ten of the most frequently occurred illness in the outpatient's services of Sukoharjo state hospital. Then the pattern of association between diseases and combination of drugs was reviewed by pharmacist committed to being validated. These studies result in some combination of medicines for to top ten of the most frequent diseases. We also found 21 similar combinations of drugs for various diseases. In the future, this finding can be used to provide suggestions to physicians to select an appropriate mix of the drug to deal some diseases
Conceptual Framework for Public Policymaking based on System Dynamics and Big Data
Get PDFPublic policy is the critical key of the welfare programs. It is also a powerful instrument to achieve a feasible national competitiveness. Unfortunately, many public policy making processes does not utilize an appropriate data and tool in holistic and systematical approach. This research will focus on creating a comprehensive conceptual framework for public policymaking based on data and system approach. In connection with information technology, there are at least two approaches that will be considered for obtaining a more comprehensive public policy. First is utilization of Big Data to extract information. It is believed that if more accurate data are collected and analyzed, then more comprehensive public policy is created. Utilization of data mining will be intensively used to obtain knowledge. The second approach is the system dynamics. The knowledge created in the first approach is useful in modeling the system. The model will be used to simulate the future possibilities of several scenarios. The scenario with the best outcome is selected as an input for public policymaking. At the end of this research, a conceptual framework for public policy making will be created by incorporating Big Data and system dynamics