Road traffic management is an ongoing challenge. Machine vision (image processing), RFID gates, aerial surveillance, and/or remote sensors technologies are usually used to reduce traffic management ...problems. However, their major drawbacks are installation difficulties, maintenance over the time, error handling, coverage and cost effectiveness. Thus, low-cost, flexible, easily maintainable and secure traffic management support systems are in demand. Internet-based real time bidirectional communication can be an alternation to solve most of the addressed problems. It can provide significant benefits over the existing surveillance technologies in use to monitor road traffic condition. In addition, dynamic routing is a vital requirement to make the proposed system more realistic. Therefore, decision tree based logic is applied to calculate the road segment weights and provide dynamic routing. The results indicate that the proposed traffic management support system/tool with dynamic routing (weights) is much more effective to find the optimal routes.
Continuous increments in world population demands transportation with essential vehicle facilities and directly effect on road traffic volume or congestion, mostly in metropolitan cities, and thus it ...needs significant investigation, analysis, and maintenance. In these regards, an Intelligent Traffic Management System (ITMS) with a Deep-Neuro-Fuzzy model was proposed and implemented. Dijkstra algorithm is used to select optimum path from source to destination on the basis of calculated road segment weights from Deep-Neuro-Fuzzy framework. However, Deep-Neuro-Fuzzy framework needs some comprehensive analysis, other means some simulation or emulation, and etc, to proof the efficiency and workability of the model. In this paper, we are going to explore the Deep-Neuro-Fuzzy model in pragmatic style with an open-source traffic simulation model (SUMO) and helps to explore traffic-related issues including route choice, simulate traffic light or vehicular communication, etc in our ITMS. In addition, a new GUI is developed to control the simulation input attributes and presents the feedbacks into the traffic flow in SUMO environment. Results highlight that the proposed SUMO model can realistically simulate ITMS based on the road segment weights from Deep-Neuro-Fuzzy model. Different built-in routing algorithms are also used to proof the workability of this model.
Real Time Bi-directional Traffic Management Support System with GPS and WebSocket Rahman, Md Rahatur; Akhter, Shamim
2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing,
2015-Oct.
Conference Proceeding
In this paper, we present the principles of a low operational-cost but flexible Internet-based traffic management support system. Most of the past systems were implemented with machine vision (image ...processing), RFID gateways, aerial surveillance, and/or remote sensors technologies. However, the major drawbacks of the above mentioned systems are their installation difficulties, maintenance over the time, error handling, coverage and cost effectiveness. Nevertheless, they consist unicast/one way communication (client to server only). The proposed system will bring real time bidirectional communication between the clients and the servers. Accurate and real-time traffic situation can be plotted at any given time. In addition, it would make better utilization of the existing technologies to achieve the goals. Users will be able to get help/advice from the system to find the optimized and cost effective way to reach from source to destination or vice versa.
Vitamin B12 and folate are two important B vitamins that are related to normal fetal development and fetal growth because they act as co-enzyme for the synthesis of nucleic acid and take part in DNA ...replication and cell division. Reduced level of serum folate and vitamin B12 also results in hyperhomocysteinemia which causes IUGR. A cross sectional study was made in which 150 pregnant women were included according to set inclusion and exclusion criteria of the study. On the basis of anthropometric measurements (birth weight, birth length, OFC) of the newborn, study subjects were grouped into group-I those who delivered low birth weight babies and group-II those who delivered normal birth weight babies. Serum folate and vitamin B12 level were measured in all the study subjects after delivery. Maternal serum folate & vitamin B12 of group-I were significantly lower than that of group-II. Birth weight, length & OFC of newborns showed significant positive correlation with maternal serum folate & vitamin B12. The risk of lower serum folate was significant for lower weight (OR11.00, 95% CI 4.81-25.15), lower length (OR 3.67, 95% CI 1.42-9.47), lower OFC (OR 6.96, 95% CI 2.47-17.87). The risks of lower serum vitamin B12 were significant for lower weight (OR 4.09, 95% CI 1.67-10.00), lower length (OR 4.83, 95%CI 2.28-10.22), lower OFC (OR 4.11, 95%CI 1.97- 8.54). DOI: http://dx.doi.org/10.3329/jdnmch.v18i1.12224 J. Dhaka National Med. Coll. Hos. 2012; 18 (01): 7-11
Aims: The study was carried out among 1200 students of selected schools at Dhaka city to observe their attitude on oral hygiene through a pre-tested semi-structured questionnaire. Methods: The ...descriptive type of cross-sectional study was carried out among 1200 students of class IV-IX (aged 10-15 years) in the selected schools of Dhaka city from December 2011 to March 2012 to observe their attitude on oral hygiene through a pre-tested semi-structured questionnaire. Results: This study revealed that 92.5% of respondents understood the importance of taking care of oral cavity. Seventy seven percent (76.7%) of respondents agreed that regular brushing would prevent tooth decay. Of all, 69.2% respondents brushed their teeth regularly where, 69.2% brushed once a day, 27.5% brushed twice and only 3.3% brushed more than twice in a day. Ninety three percent (92.5%) used toothbrush and 83.3% used tooth paste for brushing their teeth. Among the respondents, 67.5% knew that sweet food caused harm to teeth and 50.0% thought that soft drinks would have the same effects on teeth. Sixty nine (69.2%) percent of respondents reported that they went to dentist on requirement basis and only 8.3% of respondents regularly went to dentist for checkup. An association was found between mothers occupation and regular brushing prevents tooth decay (p=0.04). Conclusion: The study suggested that the students would be the appropriate target group to receive the first organized intervention leading towards improving the oral health status and reducing prevalence of oral diseases through increasing their attitude. DOI: http://dx.doi.org/10.3329/cdcj.v10i2.16346 City Dent. Coll. J Voume-10, Number-2, July-2013
25% of the total revenue earning is achieved from Textile exports for some countries like Bangladesh. It is thus important to produce defect free high quality garment products. Inspection processes ...done on fabric industries are mostly manual hence time consuming. To reduce error on identifying fabric defects requires automotive and accurate inspection process. Considering this lacking, this research implements a Textile Defect detector. A multi-layer neural network is determined that best classifies the specific problems. To feed neural network the digital fabric images taken by a digital camera and converts the RGB images are first converted into binary images by restoration process and local threshold techniques, then three different features are determined for the actual input to the neural network, which are the area of the defects, number of the objects in a image and finally the shape factor. The develop system is able to identify two very commonly defects such as Holes and Scratches and other types of minor defects. The developed system is very suitable for Least Developed Countries, identifies the fabric defects within economical cost and produces less error prone inspection system in real time.
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