In this research work, the effect of Reformed Reed Muller Encoded Data (RRMED) on Peak to Average Power Ratio (PAPR) of Multicode Code Division Multiple Access (MC-CDMA) systems was studied under Minimum Shift Keying (MSK) modulation. Simulation studies revealed that implementation of RRMED on PAPR with MSK modulation can save up to 7dB of transmitter power compared to the un-coded PAPR of MC-CDMA systems. Simulation results further proved that MSK modulation also plays an important role in reducing PAPR as compared to binary Phase Shift Keying (PSK).

This paper presents results of a study carried out for planning a parking facility in order to mitigate traffic congestion problem on Sardar Ali Sabri Road near Sir Syed University of Engineering & Technology (SSUET) Chowk in Gulshan-e-Iqbal town of Karachi city. American Association of State Highway and Transportation Officials (AASHTO) guidelines were used in planning of the parking facility. The planned parking facility has capacity to accommodate around 700 cars and 2000 motorcycles. A traffic study has been carried out to estimate the space required by vehicles for parking in the SSUET. Data analysis of traffic growth of Karachi city has been performed to study the co-relation between traffic growth rate of Karachi and number of parking vehicles in SSUET. It is found that no such co-relation exists and the city’s traffic has no impact on number of parking vehicles in SSUET. It is found that the parameters, affecting growth of parking traffic in SSUET, are number of departments of the university and number of seats per discipline allowed by HEC/PEC. Finally, construction of a parking plaza in SSUET is proposed for improvement of parking facilities.

It is an undoubted truth that the system of transportation planning is associated with the key parameters of traffic safety. This focuses the implementation of designed policies and standards. The relationship between road traffic accidents and applied infrastructure facilities is proportional. This imparts the available geometric design considerations, pavement structure, environmental, human and vehicle contributory factors. Traffic accidents are also affected on various 24hrs timings of the day and classified as dawn, daylight, dusk and dark in different research studies. Each time of the day has its own characteristics featuring with the driver performance, site detection, visual acquaintance and information provided for decision sight distance. Accidents occurring in various timings with respect to different types of road users are presented in this research. Possible root causes with significant recommended measures are the extensive dimensions of this research study. On the whole, three years data record is utilized in the analytical part as well. For the sake of reason, macro analysis tools and techniques are used in order to justify the results. The results are also formulated highlighting responsible factors and liaison with the accidents carried out in morning and dark.

Internet of Things (IoT) and Tele-Robotics are most advanced technologies that provide a vision where any object in this world can be connected to anything else. These technologies enable us to build communication among various entities such as Wireless Sensor Networks (WSN) devices, home appliances, medical equipment, RFIDs etc. An intelligent Self- Directed Vehicle (SDV) incorporated with features of Internet of Things (IoT) is presented in this work. In order to manually control the SDV, a web page (embedded with google maps) is developed and uploaded on Lighttpd server on Raspberry Pi. Lighttpd server can act like a normal apache server. User can navigate SDV manually using maneuvering control buttons. The onboard camera provides visual awareness. This technology can be utilized and implemented in a number of areas such as military, where SDV can undertake missions like drone surveillance, border patrol etc. Furthermore, our work highlights the use of webservers for interconnecting devices and describes the use of internet to control SDV from a remote end with Raspberry Pi Lighttpd Web Server.

Construction productivity is significant requirement which is point of focus for every construction manager. The main purpose of this study is to understand and highlight the factors which affect the labor productivity in Pakistan focusing Karachi which is the financial hub of the country. Karachi generates a big chunk of revenue and contributes to gross domestic product (GDP) of Pakistan. The main objective of this study is to identify the main factors affecting labor productivity of contractor, consultant and perspective of client. The data collection was carried out by one hundred sixty (160) questionnaire surveys. The results showed that feeble management and worst site conditions are solely responsible for degradation in both efficiency and output of the project.