Perancangan Software Interface Pengendalian Lampu Lalu Lintas Simpang Lima Berbasis Mikrokontroller Atmega 8535

Design software interface controlling traffic light intersection ATMega8535 five-basic microcontroller is design to facilitate operator traffic light. This software design involves two different software,software Visual Basic 6.0 and CodeVision avr, Visual Basic 6.0 as a software interface that will send data and CodeVision avr as recipient of the data that is in its hardware. Sending and receiving data here using the existing serial port in komputere that use serial usb rs232 which serves to connect or bridge the respective software sendiri.Pengiriman data through the interface that Visual Basic 6.0, this shipment using the DO pin as data transmission (RX) which in usb serial and in ATMega8535 and received using D1 pin that serves as a data receiver (TX) .Each pin is connected using the USB serial rs232. This method allows an operator to use and change the time when need it. Because the software interface gives the ease of service at rush hour or operarator like solid hours already available, and only enter a number already there dikolom disediakan.Perpindahan in this column automatically, and a solid hour or busy can also be arranged according to the wishes of the operator

Analisa Kualitas Layanan Throughput Handphone dan Modem High Speed Downlink Packet Acces (Hsdpa)

This study aims to determine the quality of the download throughput using PS R99 ( Mobile ) and HSDPA Modem, with a concomitant growth in the number of users of telecommunications services so that each operator vying to provide the best quality and service, both data and other services. Therefore, the operator themselves must always maintain the quality of data throughput that user remain comfortable with the quality provider. It is necessary for observation of the quality of the throughput on the 3G network uses HSDPA modem of the mobile and the software used is Tems Investigation 8.04 to measure the quality of throughput during the break hour and busy hour. The results of measurements at rest is better than measurement at busy times, measurements using PS R99 (mobile) at recess throughput reached 342.885 Kbps during rush hour reached 313.389 Kbps. While measurement using HSDPA Modem at break hour reached 1459.651 Kbps and at busy hour only reached 866.911 Kbps. And calculation of the break hour throughput reached 1530 Kbps while in busy hour throughput reached 960 Kbps. Keywords-- Throughput PS R99 (Handphone), Modem High Speed Downlink Packet Acces (HSDPA

Self-Driving Car A Deep-Learning Approach

Nowadays self-directed learning and automation are not restricted to human beings only. If you stare out at the automotive horizon, you can see a new exciting era coming into limelight: the age of self-driving cars. An age when humans will no longer need to keep their eyes on the road. No more concerns about distraction while driving or those stressful rush hour commutes, vehicles will whisk us where we want to go, blazingly fast and efficiently. This paper aims at demonstrating a system, which is able to drive a car on road without any human input. Both software and hardware parts are discussed here. The vehicle would contain certain sensors such as GPS, Ultrasonic Sensor, Camera and would contain an on-board computer for decision making. Waypoint data would be obtained from a nav provider like Google Maps. All of it would be simulated in CARLA, an open-source simulator

Switch between critical percolation modes in city traffic dynamics

Percolation transition is widely observed in networks ranging from biology to engineering. While much attention has been paid to network topologies, studies rarely focus on critical percolation phenomena driven by network dynamics. Using extensive real data, we study the critical percolation properties in city traffic dynamics. Our results suggest that two modes of different critical percolation behaviors are switching in the same network topology under different traffic dynamics. One mode of city traffic (during nonrush hours or days off) has similar critical percolation characteristics as small world networks, while the other mode (during rush hours on working days) tends to behave as a 2D lattice. This switching behavior can be understood by the fact that the high-speed urban roads during nonrush hours or days off (that are congested during rush hours) represent effective long-range connections, like in small world networks. Our results might be useful for understanding and improving traffic resilience.Comment: 8 pages, 4 figures, Daqing Li, Ziyou Gao and H. Eugene Stanley are the corresponding authors ([email protected], [email protected], [email protected]

EEG-based mental workload neurometric to evaluate the impact of different traffic and road conditions in real driving settings

Car driving is considered a very complex activity, consisting of different concomitant tasks and subtasks, thus it is crucial to understand the impact of different factors, such as road complexity, traffic, dashboard devices, and external events on the driver’s behavior and performance. For this reason, in particular situations the cognitive demand experienced by the driver could be very high, inducing an excessive experienced mental workload and consequently an increasing of error commission probability. In this regard, it has been demonstrated that human error is the main cause of the 57% of road accidents and a contributing factor in most of them. In this study, 20 young subjects have been involved in a real driving experiment, performed under different traffic conditions (rush hour and not) and along different road types (main and secondary streets). Moreover, during the driving tasks different specific events, in particular a pedestrian crossing the road and a car entering the traffic flow just ahead of the experimental subject, have been acted. A Workload Index based on the Electroencephalographic (EEG), i.e., brain activity, of the drivers has been employed to investigate the impact of the different factors on the driver’s workload. Eye-Tracking (ET) technology and subjective measures have also been employed in order to have a comprehensive overview of the driver’s perceived workload and to investigate the different insights obtainable from the employed methodologies. The employment of such EEG-based Workload index confirmed the significant impact of both traffic and road types on the drivers’ behavior (increasing their workload), with the advantage of being under real settings. Also, it allowed to highlight the increased workload related to external events while driving, in particular with a significant effect during those situations when the traffic was low. Finally, the comparison between methodologies revealed the higher sensitivity of neurophysiological measures with respect to ET and subjective ones. In conclusion, such an EEG-based Workload index would allow to assess objectively the mental workload experienced by the driver, standing out as a powerful tool for research aimed to investigate drivers’ behavior and providing additional and complementary insights with respect to traditional methodologies employed within road safety research

Augmented Cystine–Glutamate Exchange by Pituitary Adenylate Cyclase-activating Polypeptide Signaling via the VPAC1 Receptor

In the central nervous system, cystine import in exchange for glutamate through system xc- is critical for the production of the antioxidant glutathione by astrocytes, as well as the maintenance of extracellular glutamate. Therefore, regulation of system xc- activity affects multiple aspects of cellular physiology and may contribute to disease states. Pituitary adenylate cyclase-activating polypeptide (PACAP) is a neuronally derived peptide that has already been demonstrated to modulate multiple aspects of glutamate signaling suggesting PACAP may also target activity of cystine–glutamate exchange via system xc-. In this study, 24-h treatment of primary cortical cultures containing neurons and glia with PACAP concentration-dependently increased system xc- function as measured by radiolabeled cystine uptake. Furthermore, the increase in cystine uptake was completely abolished by the system xc- inhibitor, (S)-4-carboxyphenylglycine (CPG), attributing increases in cystine uptake specifically to system xc- activity. Time course and quantitative PCR results indicate that PACAP signaling may increase cystine–glutamate exchange by increasing expression of xCT, the catalytic subunit of system xc-. Furthermore, the potentiation of system xc- activity by PACAP occurs via a PKA-dependent pathway that is not mediated by the PAC1R, but rather the shared vasoactive intestinal polypeptide receptor VPAC1R. Finally, assessment of neuronal, astrocytic, and microglial-enriched cultures demonstrated that only astrocyte-enriched cultures exhibit enhanced cystine uptake following both PACAP and VIP treatment. These data introduce a novel mechanism by which both PACAP and VIP regulate system xc- activity

No-reference bitstream-based visual quality impairment detection for high definition H.264/AVC encoded video sequences

Ensuring and maintaining adequate Quality of Experience towards end-users are key objectives for video service providers, not only for increasing customer satisfaction but also as service differentiator. However, in the case of High Definition video streaming over IP-based networks, network impairments such as packet loss can severely degrade the perceived visual quality. Several standard organizations have established a minimum set of performance objectives which should be achieved for obtaining satisfactory quality. Therefore, video service providers should continuously monitor the network and the quality of the received video streams in order to detect visual degradations. Objective video quality metrics enable automatic measurement of perceived quality. Unfortunately, the most reliable metrics require access to both the original and the received video streams which makes them inappropriate for real-time monitoring. In this article, we present a novel no-reference bitstream-based visual quality impairment detector which enables real-time detection of visual degradations caused by network impairments. By only incorporating information extracted from the encoded bitstream, network impairments are classified as visible or invisible to the end-user. Our results show that impairment visibility can be classified with a high accuracy which enables real-time validation of the existing performance objectives

UrbanDiary - a tracking project

This working paper investigates aspects of time in an urban environment, specifically the cycles and routines of everyday life in the city. As part of the UrbanDiary project (urbantick.blogspot.com), we explore a preliminary study to trace citizen’s spatial habits in individual movement utilising GPS devices with the aim of capturing the beat and rhythm of the city. The data collected includes time and location, to visualise individual activity, along with a series of personal statements on how individuals “use” and experience the city. In this paper, the intent is to explore the context of the UrbanDiary project as well as examine the methodology and technical aspects of tracking with a focus on the comparison of different visualisation techniques. We conclude with a visualisation of the collected data, specifically where the aspect of time is developed and explored so that we might outline a new approach to visualising the city in the sense of a collective, constantly renewed space