Robotic revolution made the position monitoring systems become more and more demanding in the industry. Knowing the position of an object will help for the better navigation as well as control of systems. This review is about the current position monitoring systems with an overlook of their applications in helping Alzheimer's patients. Here we have included the indoor and outdoor methods and the comparison between the common methods used in position monitoring systems. A list of various methods used for the position monitoring has been included in the conclusion section based on their accuracy and cost.
Complex fuzzy sets have been developed recently and extends truth values to unit circle in complex plane. Complex fuzzy logic then developed by employing complex fuzzy sets. In this paper, a novel adaptive complex neuro fuzzy inference system based on complex fuzzy logic is proposed for function approximation. The underlying procedure of this network and its learning rule are described. Afterwards, the performance of this system is evaluated by two functions consisting of Sine wave and Sinc function.
Gait generation for humanoids and humanoid walking has been subject of many researches in robotics. This paper focuses on mathematical simulation of biped robots and investigating walking stability regarding zero moment point (ZMP) criteria; it also proposes a simple algorithm for humanoid walking with more links such as arms and forearms using proper parameters. Raising the number of links, the number of effective parameter instability grows rapidly and leads to be complicated and time consuming equations. In order to tackle the issue, a new method, step by step ZMP calculating is used. It can be seen that robot walking pattern with the swinging arm and forearm is like a human walking patterns. Besides, it is understood that a robot with arms has more stability in comparison with the robot without arms. Moreover, it is concluded that robot with forearms has more stability in comparison with the robot with arms.
Early fault detection of the induction machine is necessary in order to guarantee its stable and high performance. To evaluate the motor's health and detect existence of any failure in it, any motor parameter is first measured using condition monitoring techniques. The raw signal acquired is then interpret applying signal processing and data analysis procedures. Wavelet analysis of the motor current has been considered as an effective fault detection method. However, there are different types of the wavelet function that can be used for signal decomposition. This paper intends to investigate the ability of different types of wavelet functions for early broken rotor bar detection. Different harmonic components introduced by this fault such as maximum wavelet coefficient, left and right gradients of the maximum coefficient, were extracted and used as a characteristic signature for fault detection. The results indicate that the reliability of the fault detection depends on the type of wavelet function applied for decomposition of the signal.
The research focused to address growing complexity in technological domain of robotics. It provides a methodology to develop conceptual guidance frameworks based on Theory of Inventive Problem Solving (TRIZ) knowledge-base. The developed guidance framework will support thinking process of engineers at conceptual design stage of solution design. The innovative principles and most probable future directions provided by derived guidance framework will help engineers to seek breakthrough solutions more systematically. Such thinking support will result in better solutions and reduced complexity of solution hunting process.
Stress analysis method was used to establish a theoretical model to find the energy release rate for initiation of an interfacial crack and progressive debonding with friction at debonded interface. For this propose, using stress equilibrium equations, boundary and continuity conditions and minimum complementary energy principle, we defined an expression for energy release rate, G, for a single fibre embedded in a concentric cylindrical matrix, to explore the fibre/matrix interfacial fracture properties. We determine the critical crack length by interfacial debonding criterion. Also, Numerical calculation results for fibre-reinforced composite, SiC/LAS, were compared with experimental data witch obtained by other methods.
The process efficiency of electrolytic hydrogen production is enhanced regarding the transient response of a water electrolysis cell at the time of voltage application and disconnection. When such cells are connected to a power source, a momentary current surge passes through the cell charging the electrical double layer. In addition, the electrolysis process does not stop immediately after the cell is disconnected from its power source. An experimental electrolysis cell was constantly subjected to these phenomena under high frequency pulsating voltage conditions. Results show that the process efficiency is higher when the power is applied in the form of high frequency short pulses. Applied pulse width and frequency were as short as 25 nanoseconds and up to over 7 MHz respectively.
The quantum cascade lasers are such unipolarity lasers that have the emissivity from mid infrared to far infrared range. In this paper the dynamic effects of quantum cascade lasers (QCL) GaAs/AlGaAs characteristics in the mid-infrared range of λ=9μm is investigated by solving the numerical equations. Calculating of the spontaneous emission rate changes, its effects on the number of carriers, the number of photons, and the output power are the objectives of the presented study. Finally, the output power changes, by increasing the number of stages in the quantum cascade laser, have been studied. The obtained results showed that, the increase of spontaneous emission rate parameter causes delay in the laser output. In addition, there is a direct relationship between the number of stages and the output power.
Robot speed up in analysing and acquiring data is one of the major tasks in all robots' design. Among all types of robot, plume tracker by their critical task to save human life and securities activity, have an important role. However, the interment shape and movement nature of odour itself bring lots of limitations like moment speed number of sensing element, etc. for these robot types. In this letter, we are proposing the expanding job to boost up processing speed and also over come their limitation by acquiring a number of sensors for our robot platform, Mokhtar. The primary result shows the upturn in robot speed and also success in this aim.
This article reports on the investigation into the relationship between the number of rules for a triangular membership functions and quality of control of induction motor. To achieve this aim, a fuzzy logic controller was designed using the Fuzzy logic toolbox in MATLAB SIMULINK with 3, 5 and 7 rule based triangular membership functions respectively. A 50 HP, 460 V, 3-phase induction motor was used as the plant for the speed control. The FLC was incorporated into the SIMULINK model of MATLAB toolbox and simulation was carried out, response curves at the rated speed of 120 and 140 rad/sec at no-load were observed together with the stator currents curves respectively. The quality of the controller is defined by the performance indicators in the form of peak overshoot and settling time of the Fuzzy logic controller.
Robot position monitoring and navigation with ease of use and implementation is a challenge for researchers. The Path and Position Monitoring system (PPMS) is designed for the robot Platform Mokhtar. The path followed by the robot during experimentation, is acquired and displayed graphically using PPMS. The System provides a log of the location (x, y), movement velocity, number of steps for each movement, along with the date and time as a text file. The data can be used to obtain the velocity and movement trajectory of robot for further study. The PPMS can be used for navigation or any other application in robotic studies. The paper presents the design and development of the system and its use in path monitoring of an autonomous wind tracking robot. Various experiments carried out and the results obtained are discussed.
These days motion detection in surveillance technology has a trend to deploy to security sectors using radar motion detector, wireless sensors, Micro-Electro-Mechanical Systems (MEMS) Inertial Sensors etc in Unix system. This research focuses on motion detection using combination of optical flow and thresh-olding methods on Linux platform. Salient configurations, inevitable installation packages and libraries are discussed elaborately. Moreover, script with pseudo code for connecting with remote networking service application has been implemented. Results show a good and convenient security system suitably for home and offices.
Thick film CO 2 sensors were fabricated using La 2 O 3 /SnO 2 loaded with Pt and in the unloaded form. The nano-crystalline powders of SnO 2 -La 2 O 3 -Pt synthesized by high speed ball milling method were screen-printed on alumina substrates. The resistance of fabricated sensors were measured against different CO 2 concentration in the working temperature of 225 • C. The composition that gives an acceptable resistivity for CO 2 was in the 3wt.% ratio of Pt. Keywords: CO 2 gas, thick film gas sensors, La 2 O 3 / SnO 2 , screen printing method, Pt. Carbon dioxide (CO 2) is a colourless, odourless, and corrosive polluted gas that plays a significant role in greenhouse effect  . The influence of carbon dioxide de-pends on the concentration and duration of the exposure. Breathing a high concentration of CO 2 gas can result in health problem  . Although the lanthanum doped tin ox-ide (La 2 O 3 /SnO 2) thick film sensors have received more attention as a promising metal oxides for CO 2 sensing, this material cannot provide the high sensitivity to a car-bon dioxide gas  . It was found that loading SnO 2 with noble metals such as palladium (Pd) and platinum (Pt) was effective in promoting the sensitivity of sensor faced with ethanol gas [4,5] . Doping noble metals lead to de-crease the electrical resistance of the sensor for achiev-ing high sensitivity. In this letter, we tried to report a doping of Pt with La 2 O 3 /SnO 2 for this purpose. In order to prepare Pt doped La 2 O 3 /SnO 2 , the M–xylene medium was chosen to grind the sensitive powder by high speed ball milling at the room temperature (28±2 • C) and speed of 450 rpm. The resulting precipitate dried at 50 • C and calcined at 700 • C in the air by tube furnace. To fabricate the sensor device, the powder was screen–printed on an alumina substrate and attached with Pt electrodes. Gas sensing properties of fabricated sensor were mea-sured inside the 4800 ml gas chamber equipped with hu-midity and temperature sensors. Fig. 1 shows the fabri-cation flow diagram of thick film gas sensor in this work.
In Indian classical music, there are seven fundamental musical notes known as Swaras. They are namely, “Sa”, “Re”, “Ga”, “Ma”, “Pa”, “Dha”, “Ni”. In this paper, a digital piano has been designed using a microcontroller. It comprises of eight keys for the above notes, along with an eighth note, the upper “Sa”. It is a minimalistic and easy to use piano interfaced with an LCD to provide the user with a visual indication of the Swara being played. Its simplicity and ease of operation, along with a low-cost factor makes it an ideal instrument for beginners. The waveforms can be observed on an oscilloscope and varied for better understanding for the learner. This instrument can also be developed further to form a robust system with more notes and waveforms.