IMPLEMENTASI TEKHNOLOGI GREENPEACE DI PEMBANGKIT ENERY SOLAR CELL PADA DAERAH MINIM CAHAYA

Energi merupakan sesuatu hal yang tidak dapat dipisahkan dari energi listrik, mulai dari masyarakat yang tinggal di desa maupun yang tinggal di kota besar. Hal ini mendasari pemanfaatan Pembangkit Listrik Tenaga Surya (PLTS) sebagai sumber energi listrik baru terbarukan untuk menggantikan sumber energi fosil yang memiliki keterbatasan jumlah serta polusi yang mencemari lingkungan. Sel surya (sel surya) sebagai unit PLTS memiliki kendala daya keluaran yang tidak cukup besar dan sangat tergantung oleh kondisi alam. Didalam paper ini menggunakan metode pengoptimalan sel surya adalah dengan menggunakan cermin pemantul sinar matahari (reflector). Cahaya matahari merupakan sumber energi terbarukan yang dapat dimanfaatkan sebagai pembangkit listrik baru. Namun pada prosesnya dibutuhkan penambahan-penambahan tertentu pada modul solar cell agar tegangan keluaran yang dihasilkan dapat optimal. Upaya mengoptimalkan output listrik pada modul surya dengan cara memaksimalkan intensitas sinar yang jatuh ke permukaan modul surya dengan menggunakan cermin datar (ruang cermin). Hasil yang diperoleh menunjukan terdapat peningkatkan output dari modul surya

Dynamic Analysis of UAV’s Motor Support Bar Length Control System

UAV (Unmanned Aerial Vehicle) can be described as aircraft that do not need any presence of pilots inside it. Basically, UAV is come out in a small aircraft sothat the aircraft can be easily controlled by the people from afar[1]. The UAV’s motor support bar length control systems are the UAV’s control systems that move according to the variable arm length movement and also a constant revolution of the propeller speeds. The purpose of the study is to run the dynamic analysis at the UAV’s motor support bar length control systems and also to enhance the UAV’s mathematical modellingby using the SOLIDWORKS®software which involved in using both CAD and CAE systems[2]. The detaileddesign is used SOLIDWORKS®software to conduct the static and dynamic analysis of UAV’s motor support bar length control systems. The design is restricted to the arm due to the critical part that has the highest vibration at the UAV’s motor support bar length control systems. The results that obtain from the study from the static and dynamic analysis are the displacement of the motor, Von Misses stress of the arm, and also the resonance frequency that will give the modes shape to the systems

Modelling of a Cable-driven Ankle Rehabilitation Robot

Ankle injury is one of physical injury that commonly occurs in sports or domestic-related activities. Presently, there are various established treatments for ankle rehabilitation in hospital or rehabilitation clinic. This involves a range of motion treatment exercise and endurance treatment exercise. However, current treatment requires patients to frequently visit to the hospital which is tedious and also repetitive. One of the solutions to deal with the repetitiveness of the treatment is to introduce an automated device such as a robot that can help the therapist to perform this repetitive task on the patients. A concept design for a cable driven ankle rehabilitation robot has been proposed for this task. The reason for selecting cable-based design is the design is lighter than a rigidly based robot. This adds up its potential for mobility and portability which allows convenience to the users. The focus of this paper is to present inverse kinematics analysis and modelling of the proposed concept design of the robot which aimed to determine the feasibility of the concept design. Overall, the modelling of the cable-based ankle rehabilitation robot using inverse kinematics is feasible to project or to predict the trajectory paths of the moving platform of the robot. This will be useful for planning suitable dimension for fabrication of the robot

Video conference smart room: an information fusion system based on distributed sensors

International audienceThe needs for cross domain technologies called mecatronics have increased in the recent years and examples of mechanical tools directed by computers are now widely available. This paper gives an example of information fusion in the context of a video conference room and exposes two axes of the research. First it shows how to fuse information provided by several sources to locate a speaker. To do this, the system fuses data produced by video cameras and their associated image processing algorithm, with information resulting from signal processing algorithms applied on several micro-phones. Second, this article describes the distributed information fusion system (DIFS) used and the algorithm which decides where the speaker is located in order to allow focus on him. The whole application is managed by a new control system specifically developed for DIFSs. Some key points of the theoretical model on which the control is based are also given

A no-reference image quality assessment metric for wood images

Image Quality Assessment (IQA) is a vital element in improving the efficiency of an automatic recognition system of various wood species. There is a need to develop a No-Reference IQA (NR-IQA) system as a perfect and distortion free wood images may be impossible to be acquired in the dusty environment in timber factories. To the best of our knowledge, there is no NR-IQA developed for wood images specifically. Therefore, a Gray Level Co-Occurrence Matrix (GLCM) and Gabor features-based NR-IQA (GGNR-IQA) metric is proposed to assess the quality of wood images. The proposed metric is developed by training the support vector machine regression with GLCM and Gabor features calculated for wood images together with scores obtained from subjective evaluation. The proposed IQA metric is compared with a widely used NR-IQA metric, Blind/Referenceless Image Spatial Quality Evaluator (BRISQUE) and Full Reference-IQA (FR-IQA) metrics. Results shows that the proposed NR-IQA metric outperforms the BRISQUE and the FR-IQA metrics. Moreover, the proposed NR-IQA metric is beneficial in wood industry as a distortion free reference image is not needed to evaluate the wood image

Clustering analysis of human finger grasping based on SOM neural network model

SOM (Self-organizing Maps) model was introduced to cluster and analyse on the human grasping activities of GloveMAP based on data reduction of the initial grasping data.By acquiring the data reduction of the initial hand grasping data of the several objects, it will be going to be functioned as the inputs to the SOM model.After the iterative learning of net-trained, all data of the trained network will be simulated and finally self-organized.The output results of models’ are farthest approached to the reality in 3-dimensional grasping features.The experimental result of the simulation signal will generate the simulate result of the grasping features from the selected object.The whole experiment of grasping features is derived into three features/groups and the results are satisfactory

Gray Level Co-Occurrence Matrix (GLCM) and Gabor Features Based No-Reference Image Quality Assessment for Wood Images

Image Quality Assessment (IQA) is an imperative element in improving the effectiveness of an automatic wood recognition system. There is a need to develop a No-Reference-IQA (NR-IQA) system as a distortion free wood images are impossible to be acquired in the dusty environment in timber factories. Therefore, a Gray Level Co- Occurrence Matrix (GLCM) and Gabor features-based NR-IQA, GGNR-IQA algorithm is proposed to evaluate the quality of wood images. The proposed GGNR-IQA algorithm is compared with a well-known NR-IQA, Blind/Referenceless Image Spatial Quality Evaluator (BRISQUE) and Full-Reference-IQA (FR-IQA) algorithms, Structural Similarity Index (SSIM), Multiscale SSIM (MS-SSIM), Feature SIMilarity (FSIM), Information Weighted SSIM (IW-SSIM) and Gradient Magnitude Similarity Deviation (GMSD). Results shows that the GGNR-IQA algorithm outperforms the NR-IQA and FR-IQAs. The GGNR-IQA algorithm is beneficial in wood industry as a distortion free reference image is not required to pre-process wood images

Hemodynamic study on upper extremity: simulation on straight reverse saphenous vein graft

Artery reconstruction in upper extremities is rare performed compare to the incidence of reconstruction in lower extremities. In many cases, primary vascular repair was performed, whenever, otherwise, the interposition vein graft or venous bypass grafting were used in order to alleviate vascular occlusion. However, after grafting technique are applied, one or more of the digital arteries are blocked or severely narrowed because of mismatch of end-to-side or end-to-end reverse saphenous vein graft. The objective of this study was to understand the end-to-end blood flow influence on reverse saphenous vein graft with small diameter. The finite volume method was employed to model the 3-D blood flow pattern to determine the velocity, pressure gradient, flow, wall shear stress, flow resistance and longitudinal impedance (ZL). We expected that reverse saphenous vein graft behave hydraulically like provide straight graft. Furthermore longitudinal impedance modulus (ZL) is expected to be inverse proportional to small diameter

PCA-based finger movement and grasping classification using data glove “Glove MAP”

nowadays, fingers movement and hand gestures can be used as main activities in translating by naturally and convenient way to the human computer interaction.The purpose of this paper is to analyze in depth the thumb, index and middle fingers on the hand grasping movement against an object.The classification of the fingers activities is analyzed using the statistical analysis method. Principal Component Analysis (PCA) is one of the methods that able to reduce the dimensional dataset of hand motion as well as measure the capacity of the fingers movement.The fingers movement is estimated from the bending representative of proximal and intermediate phalanges of thumb, index and middle fingers. The effectiveness of the propose assessment analysis were shown through the experiments of three fingers motions.Preliminary results of this experiment showed that the use of the first and second principal components can allow distinguishing between three fingers grasping movements

An Experimental Framework for Assessing Emotions of Stroke Patients using Electroencephalogram (EEG)

Abstract: This research aims to assess the emotional experiences of stroke patients using Electroencephalogram (EEG) signals. Since emotion and health are interrelated, thus it is important to analyse the emotional states of stroke patients for neurofeedback treatment. Moreover, the conventional methods for emotional assessment in stroke patients are based on observational approaches where the results can be fraud easily. The observational-based approaches are conducted by filling up the international standard questionnaires or face to face interview for symptom recognition from psychological reactions of patients and do not involve experimental study. This paper introduces an experimental framework for assessing emotions of the stroke patient. The experimental protocol is designed to induce six emotional states of the stroke patient in the form of video-audio clips. In the experiments, EEG data are collected from 3 groups of subjects, namely the stroke patients with left brain damage (LBD), the stroke patients with right brain damage (RBD), and the normal control (NC). The EEG signals exhibit nonlinear properties, hence the non-linear methods such as the Higher Order Spectra (HOS) could give more information on EEG in the signal’s analysis. Furthermore, the EEG classification works with a large amount of complex data, a simple mathematical concept is almost impossible to classify the EEG signal. From the investigation, the proposed experimental framework able to induce the emotions of stroke patient and could be acquired through EEG