Proceeding of the Electrical Engineering Computer Science and Informatics
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Text Modeling in Adaptive Educational Chat Room Based on Madamira Tool
his paper discusses how to enhance the ability of text modeling in Arabic during chat sessions. Hanini and Jabari et al. modeled the text in chat sessions, but there is still a problem when using Arabic , because the Arabic language is very difficult to comprehend, has complex derivative and many ambiguities. This paper enhanced the previous study and added MADAMIRA tool to analyze the Arabic text. Monitoring and modeling has been completed through the text modeling process by evaluating the student expressions within the chat session using MADAMIRA tool and machine learning. MADAMIRA tool enables the modeling process to categorize Arabic text into different categories, which makes it easier to use the levels of the used expressions and discover the importance of the chat session between two peers. The process of the student modeling using MADAMIRA and Machine learning will update the student model which gathers information about the student achievements within the AVCM
Smartphone for Next Generation Attendance System and Human Resources Payroll System
A wide variety of current attendance system can be found easily in the market, but there are still some deficiencies in the attendance system; how the company will control employees are outside the office building and how employees can take ad- vantage of the attendance system to view a variety of information needed. The modern attendance system must integrated with a human resources management and payroll system. Others issues with current attendance system, beside could not control the staff who work outside the office are conventional attendance system that spends a lot of paper and a long process due to be entered manually into the system for processing payroll, while the electronic attendance system with limited device can cause queues at the time employee entry and exit the office building. In this work, we introduce online attendance system on mobile devices and is integrated with the payroll system. It is a system created to overcome some of the limitations that occur in manual or electronic attendance system which is often conventionally used today. We utilized Global Positioning System (GPS), microphone, and fingerprint scanner that available on a smartphone or others mobile devices. We developed our application base on android platform because the android is the most platforms that have been using in the most mobile devices. Using our proposed methodology, the employee can do attendance using their mobile devices and the do not need to be in queue and the employee who work outside the office also can do the attendance. Our research showed that our proposed methodology can used for the next generation absence system
A Hierarchical Description-based Video Monitoring System for Elderly
The increase in the number of elderly motivates academic researchers to develop technologies that can ensure self- sufficiency in their lives. In this research, prototype of an inexpensive video monitoring system for the elderly using a single RGB camera proposed. In the process is divided into two, namely vision and event recognition module. For event recognition, we use a hierarchical description-based approach with three attributes, namely posture (e.g., stand, sit and lie), location (e.g., walking zone, relaxing zone and toilet zone) and duration (e.g., short and long). Output this system is description activity recognized in the text. The experiment result shows our system can provide the effectiveness of the context description
Implementation of Decision Expert (DEX) in The “SALADGARDEN” Application
In the field of agriculture, it is necessary to make right decisions for determining various things. Among others is in determination of plants to be planted with several criteria such as knowledge, budget, land area, human resources, and investment value possessed. Therefore, decision support systems constitute appropriate method to facilitate farmers or non- farmers to make decisions. The expert system will be developed is desktop-based and uses Decision Expert (DEX) method to generate recommendations for most appropriate decision selection therefore it can be reference for all users. This study will define criteria on value set of Salad Garden application in the DEX evaluation model. To be prepared for all possible combinations of input and output criteria values. Rules specified by decision maker with aggregation function declared point-by- point for all possible combinations of attribute values. From test results based on DEX method calculation, decision for plant species to be planted through determination of each criterion and rule
A Project-based Approach to FPGA-aided Teaching of Digital Systems
This article shares experience and lessons learned in teaching course on programmable logic design at Universitas Muhammadiyah Surakarta, Indonesia This course is part of bachelor of engineering (electrical) degree program. Project- based approach is chosen to strengthen these students’ un- derstanding and practical skills. Each year’s project involves challenges for the students to solve by implementing digital system on an FPGA design board. Here, background and curriculum context of the course will be presented. The projects and their challenges will be discussed. Finally, lessons learned and future improvement on the student projects will be discussed. Index Terms—project-based learning, field programmable gate arrays, education, programmable logic design, hardware design languages, laboratories
Development of Low Cost Supernumerary Robotic Fingers as an Assistive Device
This paper presents the development of new type of wearable robot namely Supernumerary Robotic Finger (SRF) as an assistive robot for healthy people or people with hemiparesis or hemiplegia. SRF comprises of two manipulators attached in user’s wrist. Three flex sensors are utilized to measure the finger bending of the user’s finger. The posture of SRF is driven by modified glove sensor. The kinematics of both robotic thumb (RT) and robotic finger (RF) is studied using D-H parameter method and RoboAnalyzer software in order to understand the kinematic behavior of this robot. Each of RT and RF has three degrees of freedom (DOF). The posture of RT and RF is controlled using bending angles of thumb and finger from the user that are read by flex sensor. Based on the experimental results for people with healthy hand, the proposed SRF can assist object manipulation task in grasping, holding, and manipulating an object by using single hand when normally it only can be done by using two hands. From the experimental results on a person with healthy hand, the proposed of SRF can be employed as an assistive device for people with hemiparesis or hemiplegia. This device will enable people with diminished hand function work more independently
Methodology for Constructing Form Ontology
Form ontology was built to complement the knowledge base of XReformer system, a system to generate web forms design automatically with case-based reasoning (CBR) approach. Case base is used to store cases of form design while the ontology is used to define forms and its elements and the relationship between them as well as between the elements itself. The ontology acts as a small-scale knowledge base that can grow to become a big one. The existing ontology development methodologies were too complicated and mature and they were feasible to apply on a large scale ontology. Certainly, it was not efficient to build a small-scale ontology with these highly- discipline methodologies. In this paper, we propose a simple ontology development methodology but covers all important aspects of the development of ontologies, as an alternative to the existing methodologies
The Design of a Smart Refrigerator Prototype
The technological development nowadays has enabled the use of smart appliances and machines almost everywhere. The refrigerator is considered one of the most important appliances that is being used in almost every place for the purpose of storing foods, drinks, and medicines at cold temperatures, and in a sealed place to avoid exposure. However, there are several challenges encountered with refrigerators; like the expiration of some of the items inside the fridge, the need to know the exact count and availability of the items, potential liquid leaks, and open fridge door. A smart refrigerator is proposed as a solution to the aforementioned problems. The proposed smart refrigerator uses a Radio Frequency Identification (RFID) reader, the Arduino Uno microcontroller, RFID tags for all items in the fridge, a user friendly application developed using Microsoft Visual Studio, MySQL main database developed by the suppliers to store the information related to each purchased item and Phidget Interface Kit board
Discovering Process Model from Event Logs by Considering Overlapping Rules
Process Mining is a technique to automatically discover and analyze business processes from event logs. Discovering concurrent activities often uses process mining since there are many of them contained in business processes. Since researchers and practitioners are giving attention to the process discovery (one of process mining techniques), then the best result of the discovered process models is a must. Nowadays, using process execution data in the past, process models with rules underlying decisions in processes can be enriched, called decision mining. Rules defined over process data specify choices between multiple activities. One out of multiple activities is allowed to be executed in existing decision mining methods or it is known as mutually-exclusive rules. Not only mutually-exclusive rules, but also fully deterministic because all factors which influence decisions are recorded. However, because of non-determinism or incomplete information, there are some cases that are overlapping in process model. Moreover, the rules which are generated from existing method are not suitable with the recorded data. In this paper, a discovery technique for process model with data by considering the overlapping rules from event logs is presented. Discovering overlapping rules uses decision tree learning techniques, which fit the recorded data better than the existing method. Process model discovery from event logs is generated using Modified Time-Based Heuristics Miner Algorithm. Last, online book store management process model is presented in High-level BPMN Process Model
Graphical Approach for RF Amplifier Specification in Radio over Fiber System: Maximum Power Issues
Radio-over-fiber (RoF) technologies address wireless communication’s need for high data rate, protocol- transparency, and flexibility. One of challenge in RoF access point design is RF amplifier requirement that match to microwave-photonic link chosen and service range needed. This paper proposes a graphical approach as systematic method to solve the challenge. The method identifies two regions, i.e. (a) scalable region where amplifiers’ output 1-dB compression point (OP1dB) improvement can enhance system’s maximum input and output power, and (b) saturation region where any improvement on amplifiers’ OP1dB cannot improve AP’s maximum input and output power. The methods have been verified by system simulations. The errors at scalable and saturation regions are less than 1 dB and the standard deviation is no more than 0.6 dB. The error values around the breakpoint between scalable and saturation regions are around 1 dB. Therefore, the proposed graphical approach can be used in the specification tradeoff between RoF access point input and output power, amplifier’s gain and OP1dB