Showing papers in "International journal of advanced science and technology in 2017"

Agriculture in Pakistan and its Impact on Economy―A Review

Abstract: Agriculture is considered the backbone of any economy and it is also the most important sector of Pakistan’s economy. The purpose of this research is to analyze the Pakistan’s agriculture and its impact on economy. This study also highlights the agricultural challenges and its possible solutions. Time-series data is used in this paper and data is collected from different articles, websites and reports. The agriculture sectors i.e. major and minor crops, fruits, livestock, fisheries and forestry are studied in this research paper. There is some agriculture problems i.e.; limited water, poor management, natural calamities and others which have negative impact on Pakistan’s economy. The findings shows that due to agriculture problems there is fluctuations in Pakistan’s economic growth (GDP) thus, Pakistan’s economic growth is going to slowdown. Total factor of production is also going to slow down due to these instabilities.

Automatic Alert System for Worn Out Pipes in Autonomous Vehicles

Abstract: Autonomous vehicles will be used without a driver. This will make them less inspected because the driver often listens to the engine and its sounds; however, a passenger in an autonomous vehicle will do other things and even sleep, so there will be no effective inspection on the engine and particularly on the pipes system. This paper suggests a technique to alert about worn out pipes before they are malfunctioning and the vehicle is unable to move anymore.

Social Media Analytics Driven Counterterrorism Tool to improve Intelligence Gathering towards Combating Terrorism in Nigeria

Abstract: Terrorism is one of the biggest threats to the peace and stability of Nigeria and has evidently threatened national security and socio-economic developments. The activities of the terrorists have created atmosphere of siege and desolation, which have impediment to trades, investments, peaceful co-existence and stability, as well as sustainable livelihood and development in Nigeria especially in North East and South East Geopolitical Zones. In order to combat this menace of terrorism in Nigeria, there is a need for proactive, reconnaissance, sustainable and invaluable intelligence gathering tools. This paper explain how Social Media Analytics which is one of the big data analytics can be harnessed and tool to generate intelligence gathering of the activities of the terrorists or terrorist’ groups such as membership, motivation, and operational modalities, foreclosing sources of inspiration, funding and recruitment through analysis of social media such as youtube, twitter, istagram, facebook among others. The paper recommended some opensource Social Media Analytics available such as Gephi, igraph, NetworkX, and some available commercial Social Media Analytics such as i2 Analyst, Sentinel Visualiser, among others to be used so as to improve intelligence gathering, where all what the Nigeria Security Agents have to do is start entering data so as the analyze the activities of the terrorists activities on social media.

Performance Based Incentives Policy: A Geometric Hybrid Model

Abstract: Performance based incentives are incentives that are disbursed based on the authentic performance of an employee for a stipulated resulted period. Using a PBI policy is enormously successful in inspiring professors and other stakeholder to focus on core areas of an educational institute. In this article, the author proposed a geometric hybrid model for computing performance based an incentive which helps to tie compensation directly to specific institutional goals and management objectives of an institute. In PBI policy, performance of the faculty is always evaluated based on his or her academic output in terms of result or percentage of marks. However sometimes faculty argues that academic output always depends on the subject toughness rather than the faculty’s performance in terms of results. On the contrary, someone may be argued that the criteria of student feedback system are the best decisive factor to evaluate faculty’s performance. Hence, a traditional PBI policy always consider both the results and student feedback criterion as decisive factor for appraising faculty’s performance but it was failed in considering subject toughness and quality of students input. To overcome this gap, the author proposed a geometric hybrid model of performance based incentive policy which considers a set of notional variable like, subject toughness, subject’s results and average result of all subjects. This geometric hybrid model delivers competitive pay for cutthroat levels of performance and also encourages employees to constantly develop new skills. This model suggests a mathematical proposition for evaluation of professor’s performance through justification proportionate variables in technical educational institutes.

Routing and Security Issues in U-Healthcare Mobile, Ubiquitous and Wireless Body Area Network (WBAN)

Abstract: The ratio of aging and chronic diseases is increasing day by day; therefore, the people are interested in better health management. They are interested in patient-centered methods instead of the traditional and conventional hospitalized services. The idea of UHealthcare is getting popularity. The U-Healthcare is responsible for the observations of different states of health during running, walking, and jogging. Researchers and developers are focusing on a telemedicine system composed of Mobile, Ubiquitous and Wireless Body Area Network. The U-Healthcare system is still a little bit vague and obscure, and due to the shortcomings, the complete adoption of the U-Healthcare system is not possible. So, for this purpose, we just need to take the inclusion of latest, wellsophisticated hardware, communications, interconnections, trademark computing, advanced routing and privacy to the upcoming child of U-Healthcare based on Mobile, Ubiquitous and Wireless Body Area Network. In this paper, we have critically analyzed the relevant papers on Mobile, Ubiquitous and Wireless Body Area Network specifically in terms of the routing and security issues.

Feature Selection Paradigm using Weighted Probabilistic Approach

Abstract: The data sets having large pool of features with few samples usually suffer from high dimensionality problem in classification tasks. Construction of appropriate model with proper feature selection technique is very important pre-processing step in classification. It reduces over fitting problem and increases accuracy especially when model construction uses classifier such as support vector machine. The paper presents a new weighted probabilistic approach for feature selection, named Filter technique and Partial Forward Search (F_PFS) algorithm and decides the best models of support vector machines to diagnose various skin diseases. Experimental results show efficiency of new algorithm.

Multiple Managers, Competing Strategies and Business Unit Performance: A Case Study of PINDAD Company, Indonesia

Abstract: The existence of PT PINDAD (PERSERO) is very important in an effort to realize the independence of the industry, especially for the growth of high-tech industry that is strategic. However, the phenomenon that occurred since the monetary crisis to date that the business performance of PT PINDAD (PERSERO) tends to be unstable and the contribution of dividends to the state is still low. This is thought to still have weaknesses in the competitive strategy implemented and not fully utilize multi roles manager on business unit well. This paper presents a study of multiple managers, competing strategies and business unit performance at PINDAD Company, Indonesia. This work needs to be done as an effort to improve the performance and sustainability of PT PINDAD (PERSERO) business in the future. Explanatory survey research method has been used, where the subject of this research is middle manager and research object covering all the characteristics related to multi role manager, competitive strategy, and business unit performance at PT PINDAD (PERSERO). Hypothesis analysis and test using Regression and Correlation Analysis. The results revealed that multi-manager managers dominated by change agent strategies, competitive strategies dominated by cost leadership strategies have been well implemented, and business unit performance showed excellent performance. The performance of PT PINDAD (PERSERO) business unit is influenced by Multi roles managers (as strategic partners, administrative experts, superior employee drivers, agents of change) and competitive strategies (Cost Leadership, Differentiation, Focus and Speed). Multi roles managers have a higher impact than the implementation of competitive strategies on performance (financial, customers, internal business processes, learning and growth of the company) PT PINDAD (PERSERO) business unit.

Inverse Interpolation Techniques for Temporary Specifications Translation to Frequency Domain

Abstract: It is proposed a translation methodology applied to temporal transient response characteristics to obtain parameters of the typical second order transfer function, in the frequency domain. This method based on automatic successive approximations, applying an inverse interpolation, will minimize overdesign and manual iteration in the process of searching for a controller in frequency. For each type of requirement, specific techniques are recommended to obtain specification translation, using the “ascending and descending differences Newton’s procedure” due to its practice advantages, compared to other interpolation procedures. It will be used as interpolation functions those describing step signal or pulse signal, with subcritical damping and approached with a second order transfer function.

Simulative Investigation of Long- Range 32x3 Gbps WDM-FSO Link Under Different Weather Attenuation Conditions

Abstract: Objective: To design and investigate long range efficient 32-channel WDM-FSO system under worst weather conditions at data rate of 3Gb/s. Methods/Statistical Analysis: In this paper, 32 channel WDM-FSO system has been designed and investigated under worst weather conditions using NRZ modulation at 3Gb/s. Opti-system software is used to simulate the system. Findings: In this paper, the WDM-FSO system investigated under worst weather conditions using NRZ modulation in terms of Bit error rate and quality factor at 3Gb/s and also achieved the maximum possible link range with minimum target value of Bit Error Rate (BER) by using semiconductor optical amplifier. The present system supports the transmission up to 431 km that is achieved under clear weather condition at BER of 10. Application/Improvements: Results showed the maximum link range under worst channel conditions with minimum acceptable bit error rate By using the SOA pre-amplification at receiver side.

Statistical Modelling and Analysis of Borehole Computer Experiment

Abstract: Computer experiments are popular techniques adopted in modern businesses, engineering, scientific and technological applications in the recent years. Its flexibility and wide applicability has made it more accepted than the classical physical experiments. The Design and Analysis of Computer Experiments (DACE) is fast growing in statistical experimental designs. In this work, an Orthogonal Array-based Latin Hypercube Design, that is, OA (N, k) LHD was applied for the development of borehole computer experiment. A computer experiment was conducted based on the OA (49, 8) LHD using a borehole computer model. The borehole computer model was used to simulate the real life borehole experiment. The Gaussian stochastic process (Gasp) model was employed to mimic the computer model in order to save time that may be required by a complex computer code and for the purpose of predictions of the flow rate of water at untried inputs. The Maximum Likelihood Estimation technique was used to estimate the parameters of the Gasp model. The results obtained using the Gasp model indicated that the radius (rw ) and the hydraulic conductivity (Kw) of the borehole were the most important factors that influenced the flow rate of water from an upper aquifer to a lower one. The fitted Gasp model was found to be very efficient since it yielded exact results on the test data cases. The model development and analysis were performed in MATLAB package.

Development of a Crop Cultivation and Water Reuse System

Abstract: Water, food and light are the basic need of the living things. Without these three things it becomes impossible for the society to complete their daily lifecycle. Among these food is the valuable thing based on which people can sustain their life. But now a day’s food demand increases but production of food is not available in that much amount to maintain the demand supply ratio. So for solving this problem the only solution is to increase the production. Many researchers try several processes to increase the supply of food. But all the solution has own disadvantages. Based on this research work we try to rectify the disadvantages and find a new way to solve the food scarcity problem in our research work. This paper contains the overall research overview.

Production of Market Bag and their Stability and Optimization Parameters

Abstract: It is well known that the plastic film materials are widely used in every area of our life. The reasons why the plastic films are used so widely are; they are light, can be manufactured easily and in series, are durable, their chemical features required for packing can be adjusted as it is wished and almost all the used products can be recycled and reused. The blown up film extrusion method can be defined as; melting of polymer materials in the heat level determined according to raw material type, passing of them from a circular mold, blowing up by means of pressurized air and then cooling process to convert them to a film form. Mainly, the molding system and heat treatment parameters affect the features of the film to be produced. For this reason, the treatment parameters and mold design must be optimized by means of computer programs to minimize the defects in production. In this work, we guided several experiments on the matter of stability to provide the desired properties using designed and manufactured three layer extruder film mold machine. An experimental study was carried out to investigate film stability changes due to the blow up and traction ratio parameters in blown up film production were examined and described in details. Two applications that we used had not been approached together although there were some works which were concerned about mold design and experimental analysis of the bubble stability in the literature. It was intended improving the quality of the final product with both of design and production factors were handled together in this study.

Traditional Macro-tower to Heterogeneous Cellular Networks: A Survey

Abstract: Cellular operators are moving towards deployment of heterogeneous cellular networks (HetCNs) not just to deliver services to remote locations but also to spread out data capacity in crowded urban areas. HetCNs, along with traditional macro towers may also include relays, smaller base station and distributed antennas. These new infra with small base stations and cells (e.g., metrocells, microcells, picocells, and femtocells) have advantages such as smartness, cheap, less obstructive, and easier installation compared to traditional homogeneous macrocell networks. Traditional single towers along with these small cells can provide services not only to outside busy intersections but also to residential homes and offices. This paper addresses some of the major concerns of today’s cellular system such as coverage, capacity, interference and spectrum reuse. The paper also presents and discusses advantages and future needs of denser deployment of base stations and cells in a heterogeneous cellular network. Literature survey on some of the recent research works associated with spectrum allocation and interference management are presented. Major issues such as user association, off-loading of users from a macro to small cells etc, and potentials of superimposing small BSs with traditional macro cell BS are discussed.

Intraday Solar Energy Prediction Using ANN and Validation with Real-Time Roof-Top PV System

Abstract: Solar energy prediction is an essential requirement for any operational and controlling actions in load management either in grid-tied system or stand-alone system. In case of grid-tied system using predicted value of solar energy, the load balance can be done during day-time to reduce the dependency on grid power. Similarly, in case of standalone system, the load control can be planned to improve system efficiency as well as battery-bank life time. In this paper, a simple analytical method has been adopted to simulate probable energy output from solar system on long-term basis. In addition, Artificial Neural Network (ANN) is used in intraday energy output of solar system as well as battery State-Of-Charge (SOC). In order to validate predicted results, a real-time 1 kW grid-tied solar PV system has been installed in the premises of Faculty of Engineering, Christ University. The comparative analysis on both simulation as well as practical system is encouraging to do further research on load management schemes to improve system performance and social welfare.