International Journal of Computer and Information Technology
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Sunspot Time Series Forecasting using Deep Learning
Get PDFIn order to forecast solar cycle 25, sunspot numbers(SSN) from 1700 ∼ 2018 was used as a time series to predict the next eleven years. deep long short-term memory(LSTM) was exploited to do the forecast, first the dataset was split into training set(80%) and (20%) for the test set, the achieved accuracy led us to forecast the next eleven years. The result shows that the cycle will be from 2019 ∼ 2029 with peak at 2024
Using LTE-Sim in New Hanover Decision Algorithm for 2-Tier Macrocell-Femtocell LTE Network
Get PDFDeployment of mini macrocell base stations can also be referred to as femtocells improve quality of service of indoor and outdoor users. Nevertheless, mobility management remains a key issue with regards to their deployment. This paper is leaned towards this issue, with in-depth focus on the most important aspect of mobility management - handover. In handover management, making a handover decision in the LTE two-tier macrocell femtocell network is a crucial research area. Decision algorithms in this research, are classified and comparatively analyzed according to received signal strength, user equipment speed, cost function and interference. However, it was observed that most of the discussed decision algorithms fail to consider cell selection with hybrid access policy in a single macrocell multiple femtocell scenario, another observation was a majority of these algorithms lack the incorporation of user equipment residence parameter. Not including this parameter boosts the number of unnecessary handover occurrence. To deal with these issues, a sophisticated handover decision algorithm is proposed. The proposed algorithm considers the user’s velocity, received signal strength, residence time as well as the femtocell base station’s access policy. Simulation results have shown that the proposed algorithm reduces the number of unnecessary handovers when compared to conventional received signal strength based handover decision algorithm
Fast Visual Tracking Using Spatial Temporal Background Context Learning
Get PDFVisual Tracking by now has gained much provenience among researchers in recent years due to its vast variety of applications that occur in daily life. Various applications of visual tracking include counting of cars on a high way, analyzing the crowd intensity in a concert or a football ground or a surveillance camera tracking a single person to track its movements. Various techniques have been proposed and implemented in this research domain where researchers have analyzed various parameters. Still this area has a lot to offer. There are two common approaches that are currently deployed in visual tracking. One is discriminative tracking and the other one is generative tracking. Discriminative tracking requires a pre-trained model that requires the learning of the data and solves the object recognition as a binary classification problem. On the other hand, generative model in tracking makes use of the previous states so that next state can be predicted. In this paper, a novel tacking based on generative tracking method is proposed called as Illumination Inavariant Spatio Temporal Tracker (IISTC). The proposed technique takes into account of the nearby surrounding regions and performs context learning so that the state of the object under consideration and its surrounding regions can be estimated in the next frame. The learning model is deployed both in the spatial domain as well as the temporal domain. Spatial domain part of the tracker takes into consideration the nearby pixels in a frame while the temporal model takes account of the possible change of object location. The proposed tracker was tested on a set of 50 images against other state of the art four trackers. Experimental results reveal that our proposed tracker performs reasonably well as compared with other trackers. The proposed visual tracker is both efficiently with respect to computation power as well as accuracy. The proposed tracker takes only 4 fast Fourier transform computations thus making it reasonably faster. The proposed trackers perform exceptionally well when there is a sudden change in back ground illumination
Information Technologies and System Evaluation: Uses and Practices in the Online Context
Get PDFThe purpose of this paper is to have a clear understanding of user’s management strategies’ in an online information technologies environment. The contribution focuses on a recent exploratory study carried out with notarial e-tourism platforms for a better understanding of design evaluation and uses. The conceptual framework links various dimensions with a strategic perspective in the information science and technologies domains: online information design evaluation. We develop a conceptual model emerging from the review of existing literature. We identify that homepage construction, users’ satisfaction, Web 2.0 technologies and social media initiatives are key factors affecting positively the website design effectiveness. We stress that even though the different dimensions can be considered separately, as they have an interdependent and a positive correlation with platform performance. Research finding are used as a basis for developing prescriptive guidelines to better direct the activities for designing and developing e-commerce online platforms.
 
The Design of Legal Advisory Office Website of Samsul-Fatkhul-Serangkai (SFS) by Using Laravel Framework
Get PDFThe SFS Law Office is one of the legal advisory offices located in Depok, West Java. As an advisory service, the data processing and management in the SFS Law office served manually so that errors and data loss often occurred. The purpose of this research is to build a website for this legal advisory office so that it can be a tool for the client to schedule meetings with lawyers. It can facilitate lawyers in managing their files and schedules so that it can help clients personally. This website is using Hypertext Preprocessor (PHP), JavaScript, and Cascading Style Sheets (CSS) with Laravel framework, Sublime Text as a text editor, and MySQL database. The method used in the research is Rapid Application Development (RAD). This website has three types of users, namely admin, member, and visitor. The black-box testing method results showed that all options and the web pages able to function as expected. We can access The SFS Law Office website at URL http://www.kantorkonsultanhukumsfs.com available in Bahasa. The assessment calculations from 37 respondents gave the percentage result of 86.76 %, which means that this website is in the "very good" category
Enhancing Mobile Agent Security Level (Proposed Model)
Get PDFMobile agents are application design schemes for distributed systems that consist of mobile code ideology including Mobile agent software. In the last period mobile computing process had a vision that’s a set of execution code that’s move from platform to another in the heterogeneous network with an ability of carrying there result and updating them self-sate.
This paper presents several enhancements on mobile agent security and provides generalized code protection. Several novel techniques are proposed to protect mobile agents in any environments and to describe and solve practical problems in the mobile agent system
Robust Visual Tracking Using Illumination Invariant Features in Adaptive Scale Model
Get PDFWhen entering into the realm of Computer Vision, the first thing which comes in to mind is Visual tracking. Visual tracking by far comes into one of the most actively investigated research areas because of the fact that it has an extensive collection of applications in areas such as activity recognition, surveillance, motion analysis and as well as human computer interaction. Some serious challenges of this area which still create hindrance in achieving 100% accuracy are abrupt appearance and pose changes of an object along with its background blockage due to blockages called occlusion, illumination and lighting variances and changes in scale of target object in the frames. Moreover, diverse algorithms had been proposed for the resolution of said issue. Now in such cases, if we study the statistical analysis of correlation between two frames in a certain video, it can be efficiently utilized to get the most exact location of the targeted object. The algorithms in existence today do not completely exploit a strong spatio-temporal relationship that very often occurs between the two successive frames in a video sequence. Recent advances in correlation-based tracking systems have been proposed to address the problem in successive frames. In this thesis a very simple yet quite speedy and robust algorithm that in actual brings all the relevant information used for Visual Tracking. Two of the Models proposed are the “Locality Sensitive Histogram” and “Discriminative Scale Tracking Method”. These are robust enough to the variations which are based on appearance which are normally presented by blockage, pose, illumination and lighting variations alike. A scheme is proposed called scale adaptation which is very much clever to adapt variations of targeted scale in the most efficient manner. The Discriminative Scale Tracking Method is used for detection as well as scale change ultimately resulting in an effective tracking method in the end. Various different experiments with the best algorithms have demonstrated on challenging sequences that the suggested methodology attains promising results as far as robustness, accuracy, and speed is concerned
Speech Enhancement and Recognition using Kalman Filter Modified via Radial Basis Function
Get PDFIn this paper, a Radial Basis Function-based Kalman filter has been utilized to perform speech enhancement of an audio signal. Moreover, in order to accomplish speech recognition, correlation after detecting signal envelop has been applied. Based on the simulation result, it shows that using the radial basis function-based Kalman filter (non-linear functions to estimate Q parameter) should lead to obtain better results