After India and Brazil, Indonesia is one of the three biggest endemic areas. Report showed that Indonesia39;s curing rate only 80-90 %. Delay of detect new cases and uncured of leprosy patients will make Indonesia c...
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After India and Brazil, Indonesia is one of the three biggest endemic areas. Report showed that Indonesia's curing rate only 80-90 %. Delay of detect new cases and uncured of leprosy patients will make Indonesia continue to experience many new cases every year. Furthermore, the data showed that Indonesia still had problems in the leprosy control program. Therefore this study explored the barrier of the leprosy control program in Indonesia through health information system perspective and it also described a design of health information system in the leprosy control program. Data collection in this case study took three months using qualitative research through deep interviews, focus group discussions (FGD) and observations. This research used thematic analysis/ framework analysis. This study shows the Indonesia leprosy control program has weakness in maintaining of continuity data. Staff rotating in primary health center and district health office often made unconnected data or missing documents or computer's file in the leprosy control program. Active case finding method was done ineffectively because leprosy health workers did not have data to appoint the risk neighborhood. Implementation health information system in the leprosy control program is noteworthy because characteristics of leprosy which needs long term care, in contrast doing in paper base is very difficult to accomplish that. Information systems could help leprosy health workers perform surveillance function. It can keep patient's data for long time, query data and give reminder to patients, their family and leprosy health workers.
Although there have been many advances in electromyography (EMG) signal processing and pattern recognition (PR) for the control of multi-functional upper-limb prostheses, some the outstanding problems need to be solve...
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ISBN:
(纸本)9781457702150
Although there have been many advances in electromyography (EMG) signal processing and pattern recognition (PR) for the control of multi-functional upper-limb prostheses, some the outstanding problems need to be solved before practical PR-based prostheses can be put into service. Some of these are the lack of training and deployment protocols and the provision of the tools required. Therefore, we present a preliminary procedure to personalize the prosthesis deployment. In the first step, we record the demographic information of each individual amputee person and their background. In the second step of the protocol, the EMG signals are acquired. PR algorithms and parameters will be chosen in the 3rd step of the protocol. In the 4th step, the best number of EMG sensors to achieve the maximal performance with a full set of gestures is identified. The final step involves finding the best set of movements that the amputee person can produce with an accuracy > 95% as well as identifying the movements with the worst performance, which would require further training. This proposed approach is validated with 2 transradial amputees.
In the case of human intervention in disaster response operations like indoor firefighting, where the environment perception is limited due to thick smoke, noise in the oxygen masks and clutter, not only limit the env...
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ISBN:
(纸本)9781467363563
In the case of human intervention in disaster response operations like indoor firefighting, where the environment perception is limited due to thick smoke, noise in the oxygen masks and clutter, not only limit the environmental perception of the human responders, but also causes distress. An intelligent agent (man/machine) with full environment perceptual capabilities is an alternative to enhance navigation in such unfavorable environments. Since haptic communication is the least affected mode of communication in such cases, we consider human demonstrations to use a hard rein to guide blindfolded followers with auditory distraction to be a good paradigm to extract salient features of guiding using hard reins. Based on numerical simulations and experimental systems identification based on demonstrations from eight pairs of human subjects, we show that, the relationship between the orientation difference between the follower and the guider, and the lateral swing patterns of the hard rein by the guider can be explained by a novel 3rd order auto regressive predictive controller. Moreover, by modeling the two party voluntary movement dynamics using a virtual damped inertial model, we were able to model the mutual trust between two parties. In the future, the novel controller extracted based on human demonstrations can be tested on a human-robot interaction scenario to guide a visually impaired person in various applications like fire fighting, search and rescue, medical surgery, etc.
To optimal control of the dust emission at the precipitators’ output it is important to know the dependency between electrical and technological parameters. For an industrial precipitator were measured the total acti...
To optimal control of the dust emission at the precipitators’ output it is important to know the dependency between electrical and technological parameters. For an industrial precipitator were measured the total active (P), reactive (Q) and apparent (S) powers of precipitator from one section power supplies, mass-flow rate of steam (M) at the output of boiler, and dust emission (E) at the output of precipitator. To establish a mathematical model of a dependent parameter on other independent parameters, it can use the least squares method, which establishes minimum sum of square deviations for a certain mathematical function. To modeling of above parameters it was used least squares method to evaluate the evolution of dust emission E (dependent variable) depending the other parameters (from electrical power supplies: the active P, reactive Q and apparent S powers, and from the boiler: mass-flow rate of steam M). It was determined the mathematical modeling for E=f(Q,P), E=f(Q,M) with three types of equations: 2nd, 3rd, and 4th degrees equations. Also, it will be present E=f(Q,S,M). In this case, for function with three dimensional representation, the third parameter Q, S, or M it will be using the average value. The root-mean square deviations and correlations coefficients are presented for the three cases.
The paper offers evolving Takagi-Sugeno (T-S) fuzzy models for a nonlinear benchmark represented by the pendulum-crane system and focused on the dynamics of pendulum angular position behavior. The rule bases and param...
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In this paper, the error dynamic equation of the ILC algorithm is derived with consideration of parameter uncertainties and noise. The H∞ frame work is utilized using the derived error dynamics to design the robust l...
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This paper presents a video based control system for a Fanuc M-6iB/2HS articulated robot. The system uses a CMUCam3 video camera connected to PC. The industrial robot is controlled via the TCP/IP protocol using a cust...
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ISBN:
(纸本)9781467307024
This paper presents a video based control system for a Fanuc M-6iB/2HS articulated robot. The system uses a CMUCam3 video camera connected to PC. The industrial robot is controlled via the TCP/IP protocol using a custom simulation software created in previous researches for the industrial robot. The simulation software implements additional classes designed to control and monitor the video camera. The paper presents in detail the calibration and testing stages. The system is capable to detect cylindrical objects of any stored color and is able to determine their position in the working space of the robot.
This paper combines an extended state observer (ESO) and adaptive sliding mode control to deal with the problem of nonlinear input dead-zone, unkonw system function, external distrubance and system states unmeasured i...
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This research develops an integrated replenishment model considering supplier selection, procurement lotsizing, quantity discounts and safety stocks under dynamic demand conditions. The objectives of the model are to ...
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ISBN:
(纸本)9789898565211
This research develops an integrated replenishment model considering supplier selection, procurement lotsizing, quantity discounts and safety stocks under dynamic demand conditions. The objectives of the model are to minimize total costs, which include ordering cost, purchase cost, transportation cost, shortage cost and holding cost, and to maximize service level of the system over the planning horizon. First, a multi-objective programming (MOP) model is proposed in the paper. Next, the model is transformed into a mixed integer programming (MIP) model based on the Ε -constraint method. Then, the genetic algorithm (GA) model is constructed to solve a large-scale optimization problem by finding a near-optimal solution. An example of a bike manufacturer is used to illustrate the practicality of the proposal model. The results demonstrate that the proposed model is an effective and accurate tool for the integrated replenishment and logistics management.
Distributed system for control over the crystal growth process is presented. The main advantages of the system are its low cost, ability to recover after power failure, an application of standard ISaGRAF software envi...
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