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Well-organized big data get together in the densely distributed sensor networks is, therefore, a challenging research area. One of the most effective solutions to address this challenge is to utilize the sink node’s mobility to facilitate the data gathering. While this technique can reduce energy consumption of the sensor nodes, the use of mobile sink presents additional Challenges such as determining the sink node’s trajectory and cluster formation prior to data collection. In this paper, we propose a new mobile sink routing and data gathering method through network clustering based on modified ExpectationMaximization (EM) technique. In addition, we derive an optimal number of clusters to minimize the energy consumption. The effectiveness of our proposal is verified through numerical results.
Routing in Wireless Sensor Networks has to take into account the limited battery resources of the nodes. Sensor nodes can also be powered by other energy sources like solar energy. This paper provides a review of Environment monitoring using Wireless Sensor Networks. The issues related to environment sensor networks is highlighted. The real time applications in environment monitoring is presented with emphasis on energy conservation. Furthermore in this paper we address the problem of scavenging energy using solar powered devices.
The study aimed to discover answers pertaining to process of intervention and perception based upon a 36 item questionnaire put forth to 40 parents having children with multiple disabilities. Children were in the mean of 9.9 years and attended NIEPMD for 2.18 years; most frequent (48%) associated conditions were Cerebral Palsy along with mental retardation. The mean age of suspicion by parents was at 24.2months followed by doctor visit by 27.2 months and initiation of rehabilitation by 56.14 months. The core concern for 80% parents was to develop motor and speech skills, although the majority (55%) had neglected speech therapy. Clients preferred a transdisclipinary approach (68%) over the present multidisciplinary approach. Acceptance of the child’s condition is a crucial, 56% parents took an average of 8.03years to accept their child’s disability followed by 28% who were in the bargaining stage.
Clustering technique is the basic technique used in the wireless sensor network to enhance the lifetime of a sensor network by mitigating energy consumption and provide efficiency, scalability, and security. Formerly sensor nodes are considered to be homogeneous in which each node has the same processing capacity, energy and functionality, but to prolong network lifetime researches has been evolved to infuse heterogeneity in wireless sensor network such as to provide different energy level to some nodes. In this paper, we present a survey on basic clustering techniques for Heterogeneous wireless sensor networks.
As the world runs fast, its our duty to run with the world compensating its speed. There is an urge to prove everyone unique. Hence time management play a worthless role in the daily work of a person. At morning it is a herculean task to wake up from the bed. “Let me sleep for some more time” is the first slogan of everyone every morning. But feeling guilty for not waking up in the morning is also encountered in several cases. In this paper we propose a novel “Murderer Algorithm” based automatic waking up system that helps to wake up every morning. The uniqueness of the system is to make the person in the bed to wakeup and get away from the bed. The device employs simple capacitive touch sensor to sense the presence of a person and also a brig
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This paper designs an observer to estimate the spacecraft’s angular velocity using only Euler angles attitude without gyroscope measurement. This work contributes as an alternative or backup system during unavailable gyroscope measurement due to faulty sensor or reduction of sensor hardware for cost reduction.In this work, the observer model for satellite attitude is derived in their nonlinear form, and the observability of the nonlinear system is investigated using Lie derivative. The performance of the designed observer is analyzed and verified using real flight data of Malaysian satellite by employing Extended Kalman Filter algorithm.
The study aimed to develop a Training Module in Switching Logic as instructional material in the teaching of students of Bachelor of Technology in subjects such as Industrial Design Process and Control, Industrial Electronics and Industrial Motor Control. This was conducted at the University of Rizal System-Morong Campus during the First Semester of SchoolYear 2007-2008. Professors and Instructors of the College of Industrial Technology and College of Engineering as well as the fourth year students of Bachelor of Technology major in Electrical technology served as the respondents –evaluators in the study. The researchers used an adopted and modified questionnaire-checklist to determine the level of acceptability of the module with respect to its objectives, Contents, Pretest and post-test contents, Illustrations/photos and Usefulness.
Automatic Pneumatic Door Using IR Sensors, serves to automate the mechanism of door operation using Pneumatic, Arduino microcontroller and infrared sensor technology. The methodology applied in the project is divided into three parts, firstly designing and fabrication of the door with the calculated dimensions, secondly, developing a program on the Arduino for door operation and thirdly, interfacing the different components to work together in a cohesive manner.
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