Corporation robots

Nowadays, various robots are built to perform multiple tasks. Multiple robots working together to perform a single task becomes important. One of the key elements for multiple robots to work together is the robot need to able to follow another robot. This project is mainly concerned on the design and construction of the robots that can follow line. In this project, focuses on building line following robots leader and slave. Both of these robots will follow the line and carry load. A Single robot has a limitation on handle load capacity such as cannot handle heavy load and cannot handle long size load. To overcome this limitation an easier way is to have a groups of mobile robots working together to accomplish an aim that no single robot can do alon

Issues and trends in fashion education sustainability

United Nations (UN) has declared Sustainable Development Education (ESD) as an effort to achieve sustainable development goals (SDGs). Hence, it is encouraged that all parties globally, the government, the industry and education to implement a holistic and creative ESD approach to realize the goals of SDGs. ESD issues are also discussed in fashion education because the fashion industry is a contributor to environmental pollution. Thus, the values of sustainability in fashion education should be applied to students at an early stage so that students can understand different perspectives when faced with sustainability issues. In addition, students' attitudes and behaviour towards environmental issues are also at a moderate level. Students have been influenced by various influences such as mass media, ideologies and other social aspects. Thus, the objective of this study was to provide more information on issues in sustainable fashion education. The researcher also tried to channel some initiatives and the mechanism that can be used for the ESD practice approach in fashion education. The methodology used in this article was through the information review of previous studies. The information collected consists of articles of study and existing reports. The general and specific keywords were also used in the information search. Besides, the researcher also modified previous research results and combined various previous research findings to identify issues and trends of ESD in fashion education. From the findings, several parties play important roles in practising ESD in fashion education. The parties involved are educators, educational institutions, the government and the industry. In addition, various approaches can be done to promote ESD practices to students such as the application of mixed technology, the use of conceptual models in the fashion curriculum, the development of sustainable fashion courses, innovation in curriculum and pedagogy as well as collaborative activities between institutions and the industry. The findings also showed that several theories and models of previous studies discussed the significant relationship of factors influencing ESD practices. Those theories are Theory of Planned Behavior-TPB, Norm Activation Theory - NAT, Predictors of Environmental Behavior: PEB model and KAP Model

Noise-Induced Hearing Loss (NIHL) Prediction in Humans Using a Modified Back Propagation Neural Network

Noise-Induced Hearing Loss (NIHL) has become a major source of health problem in industrial workers due to continuous exposure to high frequency sounds emitting from the machines. In the past, several studies have been carried-out to identify NIHL industrial workers. Unfortunately, these studies neglected some important factors that directly affect hearing ability in human. Artificial Neural Network (ANN) provides very effective way to predict hearing loss in humans. However, the training process for an ANN required the designers to arbitrarily select parameters such as network topology, initial weights and biases, learning rate value, the activation function, value for gain in activation function and momentum. An improper choice of any of these parameters can result in slow convergence or even network paralysis, where the training process comes to a standstill or get stuck at local minima. Therefore, this current study focuses on proposing a new framework on using Gradient Descent Back Propagation Neural Network model with an improvement on the momentum value to identify the important factors that directly affect the hearing ability of industrial workers. Results from the prediction will be used in determining the environmental health hazards which affect the workers health

Trajectory management for aircraft noise mitigation

Comunicació convidadaThis paper gives an overview of aircraft trajectory management aimed at producing noise abatementprocedures. Area Navigation (RNAV) concepts play an important role in the design of flexible and, therefore, noise friendly depart or approach procedures. In addition, the lowest dispersion of RNAV tracks help to contain noise footprints in a smaller area if compared with footprints that are produced when conventional procedures are flown. However, RNAV turns still produce a significant amount of dispersion because of different aircraft performance and different Flight Management Systems (FMS) implementation. Noise exposure can be also mitigated if the aircraft trajectory is conveniently modified in the vertical plane. In this work, a brief overview of different lateral and vertical noise abatement strategies is given. Theoretical optimal trajectories are also assessed presenting some results of previous research done by the authors. The annoyance produced by aircraft noise in different noise sensitive locations is taken as minimization objective. This annoyance not only takes into account the measured acoustic values but also other important aspects that will affect the perceived annoyance by the population. The concept of equitable trajectories is also presented, where noise annoyance is minimized in the worst noise sensitive location and not as an average value for all locations

Optimal departure aircraft trajectories minimising population annoyance

Best Paper in Track Award de l’International Congress on Research in Air TransportThis paper presents a strategy for designing noise abatement procedures aimed at reducing the global annoyance perceived for the population living around the airports. By using fuzzy logic techniques it is shown how annoyance can be modelled in function of the maximum perceived noise level at a specific noise sensitive location and the time of the day when the departure takes place. Thus, the annoyance is computed for different kinds of sensibility areas, such as residential zones, industrial zones, schools or hospitals and an annoyance figure is obtained for each possible trajectory. Then, a non-linear multiobjective optimal control problem is presented in order to obtain the minimum annoyance trajectory for all sensitive locations. Lexicographic optimisation is used to cope with the difficulties that arise when several criteria appear in the optimisation process. Finally, a practical example is given for an hypothetical scenario where different optimal trajectories are obtained at different day periods.Peer ReviewedAward-winnin

Perceived Health Effects of Environmental Noise Pollution on the Inhabitants of Ado-Ekiti Metropolis. Ekiti State, Nigeria

This study investigated the level of awareness of health problems associated with noise pollution and also examined the relationship between location and the perceived health effects among inhabitants of Ado Ekiti metropolis. The study was a descriptive research design of the survey type. The sample consisted of 250 participants, selected using stratified and simple random sampling techniques. Structured questionnaire was used to elicit information from participants. The reliability of the questionnaire was determined using split half reliability method with a co-efficient of 0.79. The hypotheses were tested at 0.05 level of significance using one way Analysis of Variance (ANOVA). The results revealed that participants were aware of the health effects of noise pollution. Also, a significant relationship was established between location and the perceived health effects of noise pollution. Based on the findings, it was recommended that Government should review the existing noise pollution regulations as well as ensure compliance on the activities put in place to control noise pollution in the Ado-Ekiti metropolis. Keywords: Noise pollution, environment, traffic noise, health effects, Nigeri

Assessment Of Noise Impact: A Case Study Dueto Aircraft Activities

This paper presents the results obtained from an environmental noise measurement at a selected location in Malaysia in order to establish the impact of noise to human at residential area. The measurement site was situated less than three kilometers from the nearest airport and any major activities can be expected to be heard. The noise measurement was carried out for 24 hours monitoring for 30 days by using integrated B&K SLM equipments to obtain the equivalent sound level (Leq), L10 and L90 so that the exposure of noise to community can be assessed. Maximum sound level (Lmax) and sound exposure level have been measured as specified by the Federal Aviation Administration (FAA) for aviation noise assessment. The results revealed that the overall noise level exceeded the requirement of standard which is stated at 65dBA.These finding are very useful to be used as reference and guideline for future regulations on noise limit to be implemented for urban areas in Malaysia not only to human but also for wildlife and building structure

Prioritization of noise abatement methods for controlling hospital noise pollution

Noise pollution in hospitals has increased over the last few years to a level that can threaten the health and productivity of staff and patient safety. There are many control measures to reduce hospital noise. However, there is still no consensus on the best measures. This study aims to prioritize the control measures for reducing hospital noise. The work is divided into three phases. The first phase identifies and categorizes noise sources in hospitals through a review of the state-of-the art literature using Scopus®, ProQuest, PubMed, Google Scholar, Embase,™ and Web of Science™. The second phase identifies possible strategies for reduction of hospital noise and the best criteria for their adoption using findings from the literature review and interviews with corresponding experts. The third phase uses Fuzzy Analytic Hierarchy Process (FAHP) method and the Technique for Order of Preference by Similarity to Ideal Solution (fuzzy TOPSIS) method to weigh the criteria and to prioritize the control measures. Based on the results, hospital noise sources were classified into four groups: outdoor noise sources (29.7%), noise produced by domestic facilities (20.8%), indoor noise from human activities (27.5%), and noise produced by diagnostic and treatment equipment (22%). The study further arrives at a set of 9 criteria and 22 alternatives ranked using FAHP and fuzzy TOPSIS. The criteria’s weights were determined using the FAHP method, with feasibility (0.175), effectiveness (0.143), and interference with staff activities (0.140) being the most important criteria. It was found that engineering controls such as substitution of noisy equipment (rank = 1), using acoustic enclosures (rank = 2), using double-glazed windows (rank = 2), and soundproofing walls, doors, and windows (rank = 3) have priority for reducing hospital noise

Sleep Analytics and Online Selective Anomaly Detection

We introduce a new problem, the Online Selective Anomaly Detection (OSAD), to model a specific scenario emerging from research in sleep science. Scientists have segmented sleep into several stages and stage two is characterized by two patterns (or anomalies) in the EEG time series recorded on sleep subjects. These two patterns are sleep spindle (SS) and K-complex. The OSAD problem was introduced to design a residual system, where all anomalies (known and unknown) are detected but the system only triggers an alarm when non-SS anomalies appear. The solution of the OSAD problem required us to combine techniques from both machine learning and control theory. Experiments on data from real subjects attest to the effectiveness of our approach.Comment: Submitted to 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining 201