Abaka J.U, Iortyer H.A, Ibraheem T. B., Salmanu H., Olokede O |
||||||||
| Prospect and Challenges of Renewable Energy Resources Exploration, Exploitation and Development in Africa | ||||||||
This paper enumerates the status and challenges of exploration, exploitation and development
of renewable energy resources and its roles in sustainable development in Africa. A brief review of energy and
renewable energy resources in Africa was succinctly done. The concept of sustainable development as it borders
on the Renewable Energy Technologies and their roles were also discussed. The challenges facing the
acceptance, deployment and promotion of Renewable Energy Technologies in Africa were also highlighted. The
barriers were classified as; policy, regulation and institutional; information and technical capacity and financial.
Recommendations were made towards solving problems peculiar to exploration, exploitation and development
of Renewable Energy in entirety in Africa.
Energy, Renewable, Exploration, Exploitation, Development.
[1]. Abdeen Mustafa Omer (2013), Renewable Energy Technologies and Sustainable Development, Energy Research Institute (ERI),
Nottingham PP 102-115.
|
Hemant Kaushal, Tushar Puri |
||||||||
| Design of Synthesizable Asynchronous FIFO And Implementation on FPGA | ||||||||
This paper presents a design of asynchronous FIFO which, along with the regular status signals,
consists of some extra status signals for more user-friendly design and added safety. Gray code pointers are used
in the design. For synchronisation purpose, two synchroniser modules are used which contain two D-flip-flops
each. The design is implemented and synthesised at register transfer level (RTL) using Verilog HDL. Simulation
and implementation is done using Xilinx ISE Design Suite. Further, the design is implemented on Basys 2
Spartan-3E FPGA Board. Asynchronous FIFO is used to carry out steady data transmission at high speeds
between two asynchronous clock domains.
Asynchronous FIFO; FPGA; Verilog HDL.
[1] Shruti Sharma, "Implementation of an RTL synthesizable asynchronous FIFO for conveying data by
|
Sridarala Ramu, Bireddy Srinivasa Reddy, Cheva Mahender |
||||||||
| Effect of Water And Ethyl Alcohol Mixed Solvent System on the Stability of Beta-Hydroxy Ketone And Benzotriazole Ligands Metal Complexes | ||||||||
The stabilities of ternary complexes of metal ions (copper, nickel, zinc and cobalt) with beta-hydroxy ketone(BHK) derivatives and benzotriazole(BTAZ) derivatives in various mixed solvent systems (Water+Ethyl Alcohol) medium in 0.1 M KNO3 ionic strength at 250C using pH metric titration method have been established. The data reveal that the copper forms more stable complexes, which is followed by zinc and Ni complexes with these ligands. Cobalt form less stable complexes with these ligands. The stabilities of these complexes are further quantified with Δ log K values, intra-molecular equilibrium constants and percentage of stacking interaction in the ternary systems...............
Ligands, Metal ions, Ionization constants, stability constants, intramolecular interactions, stacking interactions.
[1]. J.Porath, Protein Expression and Purification, vol.3, issue 4, August 1992, pages 263-281.
|
Dr. Archana Raje, Parag Vyas |
||||||||
| Business Intelligence - A Gift for Decision Maker for the Effective Decision Making | ||||||||
Business Intelligence is a socio-technical concept emerged to help managers especially in their
decision making tasks. A manager with different decision making styles has been started to make use of
business intelligence in their own ways. Are the all managers taking benefits of Business intelligence in the
same way? Does Business intelligence give each category what they want in the decision making process? If the
answer to these questions is – No, then what is the expectation of managers from BI having different decision
making style? Will BI could satisfy their needs? If yes, then how? By using well-formed theory in different.........
Business Intelligence, decision making, Decision making styles, decision making factors, business
intelligence capabilities, Synthesis quality methodology,Meta-ethnography methodology.
[1]. A. J. Rowe, and R. O. Mason, Managing with style: A guide tounderstanding, assessing, and improving
|
Ms. Priya Musale, Prof. Tanuja Sali |
||||||||
| Implementing Oracle Utility-Meter Data Management For Power Consumption | ||||||||
In this digital mobile world, it‟s need of time to streamline and increase efficiency in business processes like effective data collection, measurement, automatic validation, editing and estimation of measurement data, analysis and dashboard for forecasting and ease in end user accessibility with Just in Time. This paper is following two methodology in this process. CEMLI is an extensive framework for developing and implementing for Oracle whereas OUM is business process and use case driven process which supports products, tool, technologies and documentation..........
Meter data management, system architecture, Saas computing, CEMLI & OUM Method, Oracle database etc.
[1]. Smart Meters and Smart Meter Systems: A Metering Industry Perspective, an EEI-AEIC- UTC White Paper.
|
Fahad Alahmadi |
||||||||
| Regional Rainfall Frequency Analysis By L-Moments Approach For Madina Region, Saudi Arabia | ||||||||
In arid regions, extreme rainfall event frequency predictions are still a challenging problem, because of the rain gauge stations scarcity and the record length limitation, which are usually short to insure reliable quantile estimates. Regional frequency analysis is one of the popular approaches used to compensate the data limitation. In this paper, regional frequency analysis of maximum daily rainfall is investigated for Madinah province in the Western Kingdom of Saudi Arabia (KSA). The observed maximum daily rainfall records of 20 rainfall stations are selected from 1968 to 2015. The rainfall data is evaluated using four tests, namely, Discordance test (Di), Homogeneity test (H), Goodness of fit test (Zdist) and L-moment ratios diagram (LMRD). The Di of L-moments shows that all the sites belong to one group (Di <3.0)...........
Regional frequency analysis, L-moments approach, arid regions, Madinah region, Saudi Arabia
[1]. Adamowski, K., Alila, Y., Pilon, P.J., (1996). Regional rainfall distribution for Canada. Atmospheric Research 42, 75-88.
|
Satya Bhan Kulshreshtha, G. C. Sharma, M. Jain |
||||||||
| Discrete Time Batch Arrival Queue with Multiple Vacations | ||||||||
In this paper we consider a discrete time batch arrival queueing system with multiple
vacations. It is assume that the service of customers arrived in the system between a fixed intervals of time
after which the service goes on vacations after completion of one service of cycle is taken up at the boundaries
of the fixed duration of time. This is the case of late arrival. In case of early arrival i.e. arrival before the start of
next cycles of service. If the customer finds the system empty, it is served immediately. We prove the
Stochastic decomposition property for queue length and waiting time distribution for both the models.
Discrete time system, Stochastic decomposition property, Multiple vacations.
[1]. Abate, j., Kijima, M. and Whitt, W. (1991): Decomposition of the M/M/1 transition function,
Queueing Systems, Vol. 9, pp. 323-336.
|
Hyun-Seop Shin |
||||||||
| Analysis of failure behavior of shear connection in push-out specimen by three-dimensional stress analysis | ||||||||
This study analyzes the failure mechanism of shear connection by three-dimensional finite
element analysis (FEA) of push-out specimens that was practically unaffordable experimentally or by twodimensional
FEA. For the analysis of the failure behavior of the compression strut formed in the loaded
concrete member, the three-dimensional principal stress space is transformed into two-dimensional space by
means of the relation between the hydrostatic stress and the deviatoric stress. The analysis of the stress state in
the compression strut revealed that the deviatoric stress increases with larger load particularly in the concrete
surrounding the lower part of the shear stud.....................
Composite beam, push-out test, FEM analysis, composite action, shear connection
[1]. H. Bode, J. Schanzenbach, "Das Tragverhalten von Verbundträgern bei Berücksichtigung der Dübelnachgiebigkeit",
Stahlbau 58, Heft 3, pp. 65-74, 1989.
|
Bindu Vaish, Rahul Kumar Pandey |
||||||||
| Optimal Pricing Policy for a Manufacturing Inventory Model with Two Production Rates under the Effect of Quantity Incentive | ||||||||
When a new product is launched, a manufacturer applies the strategy of offering a quantity
incentive initially for some time to boost up the demand of the product. The present paper describes a
manufacturing inventory model with price sensitive demand enhanced by a quantity incentive. Later on demand
becomes time increasing also. Inventory cycle starts with low production rate which is followed by higher
production rate when demand is boosted up. Shortages are not allowed in this model. Presentation of numerical
examples, tables, graphs and sensitivity analysis describes the model very well. Lastly case without incentive
illustrates that usually the quantity incentive offered initially is beneficial.
Time dependent demand, price dependent demand, pricing policy, two production rates, quantity
incentive
[1]. E. A. Silver, and H. C. Meal, "A simple modification of the EOQ for the case of a varying demand
rate", Production of Inventory Management 10, 52–65, 1969.
|
Shilpa.G.N, Dr.G.S.Sheshadri |
||||||||
| Short-Term Load Forecasting Using ARIMA Model For Karnataka State Electrical Load | ||||||||
Short-term load forecasting is a key issue for reliable and economic operation of power systems. This paper aims to develop short-term electric load forecasting ARIMA Model for Karnataka Electrical Load pattern based on Stochastic Time Series Analysis. The logical and organised procedures for model development using Autocorrelation Function and Partial Autocorrelation Function make ARIMA Model particularly attractive. The methodology involves Initial Model Development Phase, Parameter Estimation Phase and Forecasting Phase. To confirm the effectiveness, the proposed model is developed and tested using the historical data of Karnataka Electrical Load pattern (2016). The forecasting error of ARIMA Model is computed and results have shown favourable forecasting accuracy.
Autocorrelation Function (ACF), Autoregressive Integrated Moving Average (ARIMA), Mean Absolute Percentage Error (MAPE), Partial Autocorrelation Function (PACF), Short-Term Load Forecasting (STLF), Stochastic Time Series.
[1]. Nima Amjady "Short- term hourly load forecasting using time series modeling with peak load estimation capability", IEEE Transactions on Power Systems,Vol.16, No.3, pp.498-504, August 2001.
|
