Abstract: : Telecommunication companies nowadays are mainly focusing on data services because they are on a very high demand than any other telecom services. Today, almost 51% of the total data traffic is of video streaming which constitutes a very bigger part of the traffic since the video contains more data than any other data type. This increased demand and utilization of such services increase the need of higher data rates & increased service rates. In this paper, we will analyze the performance of the network by load management and introducing dual service rate in the system. A queuing system will be made and structured Markov chain is obtained from it. The basic operation will be such to increase the service rate when there is high traffic on the media and simultaneously decreasing arrival rate in order to bound the customers for entering in the system. As the traffic again decreases, the service and arrival rates will again back to their normal rates providing the basis of dual service rate.
Keywords: Queueing system; Load Management; Arrival Rate; Dual; Service Rate
Abstract: NGlobally, every company is trying to switch to recycled or alternate fuel to reduce their cost and optimize production. Internationally, most of the alternate fuel are being used by many different companies. But in cement industry, ash of the alternate fuel mix in the raw material and effect the clinker chemistry. Hence, without analyzing the change in chemistry and changing the parameters according to the requirement of the clinker for strength and other properties is not recommended. In this paper, company using coal as their main fuel has been treated with other alternate fuels like Rice husk and dried sludge. Also chemistry of both of alternate fuel has been analyzed. Similarly, effect of using rice husk and dried sludge has been analyzed on clinker when ash of these alternate fuel added in the raw meal. Experimentally, after using rice husk, clinker LSF decreased because of decrease in C3S. Similarly, increase in silica module is witnessed because of increase in C2S. Increase in C2S is because of increase in percentage of ash as compare to coal as well as SiO2 rich rice husk ash. When dried sludge was used, the results was almost similar and percentage of clinker composition was almost same with slight change in Alumina module.
Keywords: Clinker; Rice Husk Ash; Alternate fuel; Coal; Dried Sludge; Ashk
Abstract: Lean manufacturing is the study of identifying waste and reduce those waste using lean tool and techniques to improve the quality of working life. The basic goal of almost every organization is to achieve maximum output of minimum resources. However, organizational faces the issues related wastes that creates hinderance in achieving the organizational effectiveness and efficiency and those waste need to be highlighted and assessed properly. This study therefore, aims to analyse the effect of lean manufacturing technique, KANBAN TOOL, on improving the warehouse management system as a case study of the FMCG sector’s warehouse management. For this purpose, this study conducted a comprehensive secondary literature review-based research and developed a conceptual context that showed the warehouse management indicators such as elimination of over production, optimum level of inventory, and reduction of waste and scrap can be used to explain change in firm performance of manufacturing firms.
Keywords: Lean; KANBAN; FMCG; WMS; Just in Time; Logistics; Inventory Management.
Abstract: In today world’s market; main disadvantage of Doubly fed induction generator is that under its operation mode, rotor speed decoupled from frequency of power grid resultd as not responding situation about changes of system frequency. With large-scale integration of DFIG; frequency stability of power system decreases and most significantly it creates disturbance in frequency regulation so its foremost priority to study control strategies for purpose of overall system frequency adjustment. The aim of this paper is to study and analysis of DFIG along with its frequency control strategy based on existing methods (PI traditional controller) as well as proposed new method based on Fuzzy control logic. Initially, establishes the mathematical model, build power decoupling control strategy, analyze response under varying system load. It is noticed that due to external performance of zero inertia, it changes characteristics of frequency response as well as reduces the equivalent inertia of power system. In order to cope this critical issue; theoretical and simulation-based analysis has performed. Furthermore, paper focuses on selection of control coefficients (Kp, Kd) in DFIG comprehensive inertial control strategy, analyzes the influence of inertial control coefficients and finally optimizes the control coefficient to meet the frequency regulation.
Keywords: Doubly-fed induction generator; PI traditional controller; Fuzzy logic controller; Inertial control coefficient
Abstract: In image processing, Segmentation means to partition a digital image into multiple regions. Active contours, or snakes, are computer-generated curves that move within images to find object boundaries. These models can provide smooth and closed contours as segmentation results. With the development of modern computer technology and digital medical equipment, medical image has become an important means for clinical doctors to diagnose diseases. It is difficult for a doctor to manually interpret and understand an image, an image may contain more information as compared to required one. It requires more time to manually interpret an image as well as the interpretation remains subjective to previous knowledge. For a focused investigation, the clinician is always interested in a particular object or an ill organ (brain, bones, vessels). The goal of this research is How to improve segmentation for robust extraction of object of interest for a detailed analysis? Accordingly, we will propose an improved segmentation method and test this for a variety of objects including synthetic and clinical imagery.
Keywords: Image segmentation; Active contour models; Object contour detection; Global region-based segmentation; Localizing region-based segmentation: MATLAB.
Abstract: : Drilling the oil & gas well is the first footstep in the success of petroleum exploration & production activities which also includes blending and utilizing drilling fluids which must be safe to use, economically viable and must satisfy technical parameters. Diesel oil based muds are toxic for environment as well as nuisance for eco system. The goal of this research is to formulate the Biodiesel based drilling mud especially for shale formation which must not harm environment as well as performs as good as conventional diesel based mud. Biodiesel was extracted from Canola oil in the laboratory through Transesterification process. Two oil based mud samples were made. One sample having Biodiesel as base fluid and other containing diesel as base fluid. Quality tests of base fuels such as flash point, density and viscosity confirmed that biodiesel has better results than diesel oil. Rheological properties such as gel strength yield point etc. using Rotational Viscometer at two different temperatures i.e. 60ᵒc and 100ᵒc of both samples were measured. Results showed that biodiesel based mud demonstrated stable and much enhanced properties than diesel based mud samples. Biodiesel based mud performed better than diesel based mud as plastic viscosity, apparent viscosity, gel strength, yield point, gel 10 minutes and 10 seconds and at different RPMs and at higher temperatures was best suited for mud to be used in shale formations. Economic analysis illustrated that although initial cost of Biodiesel is higher than diesel but when it comes to disposal options; biodiesel has less disposal cost than diesel based muds hence proving biodiesel based mud as best alternate of diesel based muds in shale formation.
Keywords: Drilling; Oil based drilling mud; Environment; Transesterification; Biodiesel; Diesel; Rheology.
Abstract: The art of kashi tile is very famous and popular among the various dynasties of the Sindh which have ruled over the sub-continent, but most of its work is found in the ruling period of the mirs and kalhoras, the use of this art is done on the different spaces most of them are religious space but along with residential spaces which includes the hawelies, otaks, khangaas, darghas and masjids, shrines of these two dynasties which makes them more attractive and worth sighting. This piece of richer will help to compare the tile of these two dynasties by form, shape, motifs, color and sizes for which a case study will be made on the location and physical presence of the tombs to understand the importance of the kashi work on it, besides of it a photographical survey and CAD designs will be made to have measurements and sizes, the results and findings of the research will be helpful to the Architects and kashigers to re use this art in modern architecture and to establish the sustainable industries for the production of the kashi tile to improve the use of this traditional art in modern work.
Keywords: Kashi tile; Architecture; Psychological impact; Mir & Kalhoro; Hyderabad region
Abstract: : Image segmentation is a significant process for the segregation of image into several regions in order to achieve the desired object or meaningful information. It is considered as the first step for any autonomous computer vision application. And for that purpose active contour models plays a vital and effective role because of its potential to detect object boundaries with the curve evolution. Various conventional approaches namely edge based, region based(global and local) have been proposed for accurate segmentation. These traditional methods performs very well on images having homogeneous intensity behavior, However it suffers on images with intensity inhomogeneity. In this paper we proposed an improved image-based hybrid energy metric by integrating Bayesian classification in conventional region growing to allow improve segmentation where current approaches suffer through degradation of gradient and intensity inhomogeneity. The quantitative results and experimental comparison validates that the proposed method performs better as compared to existing conventional approaches.
Keywords: Active contour, Image segmentation, Bayesian classification, Region based segmentation, Local and global segmentation, Intensity inhomogeneity, Hybrid energy
Abstract: : Glaucoma is an eye disease that affects the optic nerve head and, if not treated, may cause full or partial loss of vision. Since damage caused by glaucoma is irreversible, early diagnosis caries a paramount importance. Lately, automatic methods of glaucoma detection are getting popular, and the recent literature reports a continual increment in their accuracy and performance. In this paper, we opt deep learning based on a convolutional neural network for automatic feature extraction and classification in one go. The proposed system uses five convolutional layers for feature extraction and two fully connected layers for classification. A bigger dataset is formed by combining all three releases of RIM-ONE datasets. Dataset is further augmented using affine transform of the original dataset for the purpose of training and a dropout layer is also added to avoid overfitting. The results with five-fold experiments on binary classification are presented. The average results show the overall classification accuracy of 0.85, sensitivity of 0.80 and specificity of 0.88 with an equal error rate of 0.15.
Keywords: Glaucoma, Deep Learning, Convolutional Neural Network, RIM-ONE.
Abstract: Internet has so much information and become a data source for us. If a user desires to go looking for data on the web, he just gets information from internet sources and search engines like Google but that contains both desirable and non-desirable information, so for that purpose a Recommender System was created to solve that problem of searching. It considers user requirements, interests and explores information that targeted user looks for. The Recommender System has become famous topic of research for past few years. At first all the studies have mainly concentrated only one user suggestions. Recently the Group Recommender Systems have paid attention to suggestions of a group of users as in few cases the products to be suggested are not only for one user but for a group of users. For example, a DVD could be visually examined by different users in a group of family members. The current research has labeled the query of initializing advises of different members of a group and that is to satisfy the distinct preferences of all the group members as much as possible. This paper we discuss at Existing Aggregation strategies favors the opinion of that group member who gets extreme rating (either very high or very low). For Example, a group has three members, two of them have given 3 rating on a particular item and one of them has given 1 rating than according to the average aggregation strategy the group rating will be approximately 2 which means group members dislike the item however if we consider their individual rating than two members from the group of 3 members actually like the item but only for one member the low rating is considered as dislike. Finally, if we consider the problem of ratings or recommendations, it requires more extension and needs to be improved for that here we use RMSE as evaluation matric One characteristic of the RMSE is that it tends to disproportionately penalize large errors because of the squared term within the summation in result it will be get appropriate results.
Keywords: Recommender system; Group recommendation; Collaborative filtering; Aggregation strategy.
Abstract: The morphology of street patterns has been the subject of many studies in recent decades, there have been few attempts to quantify the street patterns. For this study, we measured and compared the trending street pattern in Jamshoro, listed down all the types of street pattern trending there along with their rising problems related to sun & wind orientation. The pattern according to which housing societies are developed in Jamshoro are different as they are designed by different Architects & town planners, making socio- psycho issues for inhabitants, most of the houses have to sacrifice for the wind & light. Aim of this research is to identify the orientation issues with respect to wind & light related to street patterns & Providing better solution for the development of eco-friendly Residential scheme. For this purpose, we visited these residential areas, conducted case studies, reviewed literature in order to get keen observation on how others cope with these issues, and conducted un structured interview from the inhabitants. The adopted methodology of research will help us in sorting out the major issues with most appropriate solutions for the development of eco-friendly residential scheme.
Keywords: Street Pattern; Murk society; Jamshoro
Abstract: Big Data tremendously big data set that may be analyze computationally to expose pattern, trend, and relations, particularly connecting to human performance and connections. Big Data is an appearance used to mean a massive quantity of both controlled and amorphous data that is so outsized it is tricky to development using conventional database and software technique. Big data is used in every field of life.Ithas been said that this is age of Big Data. Big Data consist of ten Vs. In this paper, provide only a brief survey of 7 Vs of Big Data in order to understand Big Data and 7 Vs definition, its applications and merits in detail. Finally we conclude the 7 Vs uses and Big Data Utilization, as a future work for researchers and students, while moving forward.
Keywords: Big Data; 7’Vs of big data; Big data extract and Utilization
Abstract: Fog computing is referring to spreading cloud computing to the edge of an originality’s network. It is basically a devolved research paradigm where knowledge, storage and software are spread in the absolute most defined, effective position between the information supply and the cloud. Besides the Similarities to cloud computing, it has some distinctiveness which makes the fog computing to experience new security and privacy challenges. This paper describes the definition of fog computing and similar perception, commences about application scenarios, and identifies security and privacy challenges in fog based computing systems.
Keywords: Fog computing, Cloud computing, Mobile edge computing, Cloudlet
Abstract: Light Fidelity is popularly known as Li-Fi. This is a very new technology that is driven by German physicist Harald Haas  in 2011. The technology is proposed during a global talk on Technology Entertainment Design on VLC communications. Visible light communications are optical ways of communication that networks the LED for data transmission. The term Li-Fi uses the VLC communication for the high end communication that can be an alternative of Wi-Fi. The proposal of Harald Haas is comparable with IEEE 802.15.7 that is fully dual directional and networked standard built for 802.11.
Keywords: Li-Fi; Li-Net; VaNet; Communication technology;Network;Smart Network
Abstract: Today human life is entering in new era of technology where all functions that depends on human will be done by many interconnecting devices called internet of things (IoT). Internet of things is able to provide billions of services at any time and any palace. There are many reasons that make IoT most interesting most researchable topic today. IoT provide dynamic control in daily life, enhance the resource utilization, and create dynamic relationship between humans and nature. In this survey paper many applications (smart homes, connected cars, wearable, use in industry, smart cities, in agriculture, smart retail systems, energy management systems, in health care, in poultry and farming) of IoT are discussed in details. Importance and challenges are also discussed in this survey paper.
Keywords: IoT; Applications; Importance; Challenges; Technology
Abstract: TAutomated vehicles get increased attention by vehicular makers and researchers. However, their preparation needs the security problem be resolved, significantly since they admit wireless communication and rouge vehicles will roam with contaminated with software system. Automatic vehicles use a multiplicity technique to understand their surrounds, like microwave radar, optical device light, GPS. Advanced mechanisms interpret sensory info to recognize appropriate course plotting ways, in addition as hindrances and important accumulation. In this paper, provides the comprehensive survey on automated vehicles and their applications. Automotive industry plays very important role to resolve the price issue and create it easier for business users to adopt a replacement vehicular technology.
Keywords: Automated vehicles; Global Positioning System (GPS); applications; business user; vehicular technology
Abstract: During drilling operation, many challenges are faced in context of drilling mud performance. With the increase in depth temperature and pressure unwanted impacts on drilling fluid. In addition, usually at higher temperature and high pressure the additives and polymers are not too effective. Keeping in view that problem, we have conducted experimental study on HIPOLY based drilling mud for high temperature conditions. In this research rheological properties of HIPOLY polymer base fluid are determined at wellbore conditions in order to check sustainability and performance of drilling fluid at elevated temperature and pressure. Rheological parameters of HIPOLY based drilling fluid samples at eight different concentrations were measured at laboratory. The usage of Hipoly in drilling fluid will ameliorate its working as viscosifier agent in HTHP conditions that improves the API property of drilling fluid up to 180 oC.
Keywords: Drilling fluid; Rheology; Polymer; Plastic viscosity; HPHT
Abstract: Initially the hydrocarbons are produced by the natural pressure of the reservoir, by the passage of time its pressure starts to deplete and at a certain point it does not cover the economical limit of a producer well. To overcome that depletion artificial lift methods are widely used. To meet the economical limit more than 90% oil wells require artificial lift method. Different ALM are used to suck out the oil from producing well and Electrical Submersible Pump (ESP) is one of the ALM that will be used for increasing the production of an oil well. The decline of Production occur due to mismanagement of wells, improper perforation method and oversized tuning so consequently wells cannot produce expected rates so the company will not meet their economic criteria and may go for the economic losses.
Keywords: Artificial lift method; Water cut; Production Decline Rate
Abstract: Housing is one of the basic human needs. The shortage of housing in a country is mounting due to immense growth rate of population. The current housing situation in Sukkur is not very different from the national one. A significant percentage of the urban population and the majority of rural migrants live in terrible living conditions and there is a strong shortage of adequate and affordable housing units. Furthermore, the deficit continues to rise; like more shelters, less population is forced to live in deplorable conditions. Families below the poverty line have been neglected. Land is also scarce resource and major contributor in housing supply. Related obstacles include dill planning of land without any management system together with higher cost of land and materials. Hence, the objective of this study is to evaluate housing nee. The housing supply gap was used to analyze through multiple secondary source data. The findings are defined as the housing demand is increasing with limited supply of housing with average backlog of 5000 houses. Government also is failed to take strong initiatives of supply of housing and this gap strongly affects affordability.
Keywords: Adequate housing; Demand; Supply; Backlog; Real estate
Abstract: Cement rheology plays a significant role in the removal of mud from well and provide help in determining the flow consistency during cementing operation. These properties predict the flowing characteristics of cement under different well conditions. The flow properties of cement slurry such as yield point, gel strength, plastic viscosity, and frictional properties etc. can be calculated by rheological measurements. Rheological behavior of slurry is controlled by various factors including the mix water, cement grain size and shape, chemical structure, cement additives and testing procedures. Cement rheology does not retain its properties in high temperature environment and may lead to fluid loss and strength retrogression over the life of a well. Therefore, it is key challenge for petroleum industry to maintain the slurry properties. To address this issue, cellulose based polymer, i.e. hydroxypropyl methylcellulose (HPMC) is added to slurries to act as viscosifying agent. The purpose of this research is to examine the effect of HPMC polymer with other additives on rheology of cement slurry at temperature of 100oC. It is concluded that HPMC polymer works as multifunctional additive in cement slurry that overcome the effect of temperature on rheology and upgraded the rheological properties.