Proceeding of the Electrical Engineering Computer Science and Informatics
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    649 research outputs found

    Text Modeling in Adaptive Educational Chat Room Based on Madamira Tool

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    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

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    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

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    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

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    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

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    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

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    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

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    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

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    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

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    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

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    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

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    Proceeding of the Electrical Engineering Computer Science and Informatics
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