scholarly journals Selection of Appropriate Detection Scheme for Optimum Performance-Complexity Trade-Off in 3GPP Suburban Macrocell Wireless MIMO Environments

2015 ◽  
Vol 131 (16) ◽  
pp. 23-26
Author(s):  
Nikita Jain ◽  
Shivpratap Pandey ◽  
Piyush Sharma
Author(s):  
Ebrahim Hosseini ◽  
Shafiqur Rehman ◽  
Ashkan Alimoradi

Turn-milling is a hybrid machining process which used benefits of interrupted cutting for proceeding of round bars. However, number of controllable parameters in the hybrid process is numerous that makes optimizing the process complicated. In the present study, an optimization work has been proposed to investigate the trade-off between production rate and cutting force in roughing regime as well surface roughness and tensile residual stress in finishing regime. Number of 43 experiments based on response surface methodology was designed and carried out to gather required data for development of quadratic empirical models. Then, the adequacy and importance of process factors were analyzed using analysis of variances. Finally, desirability function was used to optimize the process in rough and finish machining regimes. The obtained results showed that selection of eccentricity and cutter speed at their maximum working range can effectively enhance the quality characteristics in both the roughing and finishing regimes.


Transport ◽  
2012 ◽  
Vol 27 (3) ◽  
pp. 250-262 ◽  
Author(s):  
Johan Woxenius

The trade-off between flexibility and specialisation implies delicate tasks for transport system designers and marketing managers. The outcome of their efforts ranges from highly specialised solutions for a restricted number of users and types of cargoes to very open systems for common use adapted to accommodate a wide variety of transport demands. The purpose of this article is to adapt theories on openness and trade-offs, characterise a selection of flexible and specialised European short sea shipping concepts and analyse how substantial changes in the future character of the competition with road and rail can affect the development of ro-ro shipping in the South Baltic Sea. A matrix with commercial openness and technological openness on the axes is used for categorising sub-segments in the empirical context of the South Baltic Sea. Foreseeable changes in key cost and competition parameters until 2020 are taken into account in discussing potential scenarios. A plausible outcome for the ferry/ro-ro shipping segment is that a branch with slow services for unaccompanied freight will be diverted from the current homogenous market offerings. During the study, the Swedish Orient Line launched a service with these characteristics, which is analysed in a case study.


2018 ◽  
Vol 28 (1) ◽  
pp. 1296-1310 ◽  
Author(s):  
Habibi Husain Arifin ◽  
Nasis Chimplee ◽  
Ho Kit Robert Ong ◽  
Jirapun Daengdej ◽  
Thotsapon Sortrakul

1993 ◽  
Vol 1 (3) ◽  
pp. 141-142
Author(s):  
Karen Joughin ◽  
Steven J McCabe

K Joughin, SJ McCabe. Patient preference for the management of trigger digit. Can J Plast Surg 1993;1(3):141-142. Steroid injection and surgery are both accepted treatment options for trigger digit. The objective of this study was to determine which modality patients would prefer when given a choice of treatments, the strength of their preference and factors that may influence their preference. A probability trade-off technique was used in 151 subjects. On average, subjects selected injection over surgery and would do so with a probability of success by injection as low as 57%. If the probability of cure by injection was less than 57%, surgery would be the preferred method of treatment, on average. A bimodal distribution of patient preference showed that some patients may strongly prefer either surgery or injection, with many patients preferring surgery even with a high expected cure rate of the first injection. Age, gender and previous experience with injections or surgery did not correlate with preference. Patients with trigger digits should be presented with unbiased information about treatment and be allowed to take part in the selection of the type of treatment they receive.


Author(s):  
M. ISABEL REY ◽  
MARTA GALENDE ◽  
M. J. FUENTE ◽  
GREGORIO I. SAINZ-PALMERO

Fuzzy modeling is one of the most known and used techniques in different areas to model the behavior of systems and processes. In most cases, as in data-driven fuzzy modeling, these fuzzy models reach a high performance from the point of view of accuracy, but from other points of view, such as complexity or interpretability, they can present a poor performance. Several approaches are found in the bibliography to reduce the complexity and improve the interpretability of the fuzzy models. In this paper, a post-processing approach is carried out via rule selection, whose aim is to choose the most relevant rules for working together on the well-known accuracy-interpretability trade-off. The rule relevancy is based on Orthogonal Transformations, such as the SVD-QR rank revealing approach, the P-QR and OLS transformations. Rule selection is carried out using a genetic algorithm that takes into account the information obtained by the Orthogonal Transformations. The main objective is to check the true significance, drawbacks and advantages of the rule selection based on the orthogonal transformations via the rule firing strength matrix. In order to carry out this aim, a neuro-fuzzy system, FasArt (Fuzzy Adaptive System ART based), and several case studies, data sets from the KEEL Project Repository, are used to tune and check this selection of rules based on orthogonal transformations, genetic selection and accuracy-interpretability trade-off. This neuro-fuzzy system generates Mamdani fuzzy rule based systems (FRBSs), in an approximative way. NSGA-II is the MOEA tool used to tune the proposed rule selection.


2020 ◽  
Vol 16 (2) ◽  
pp. 188-196
Author(s):  
Naveen Kumar ◽  
Jyoti Ohri

The haptic system has two key performance issues: stability and transparency. A haptic interface controller (HIC) is designed to address these issues. Addressing these issues becomes a complex problem as both are complementary to each other. Here, when transparency of the system is increased, its stability degrades and vice-versa. To overcome this problem, intelligent optimized solutions are used in this paper to design a HIC controller for the haptic system. SVM and NN techniques have been employed to identify the performance of the controller, ensuring stability and transparency both. The disadvantages of NN in terms of the number of neurons and hidden layers are overcome by SVM. Further, the performance of SVM is highly dependent upon the selection of free parameters. So, further, a modified PSO technique is employed for the optimal selection of these parameters to enhance the performance of SVM. Hence, this novel proposed hybrid technique of m-PSO optimized SVM is applied for the optimal design of the HIC to find out an optimal solution between trade-off the transparency and stability of the haptic device simultaneously. To appreciate the efficacy of the proposed technique, the result obtained with this is compared with HIC design using neural network and conventional ZN method also. This designed controller ensures stability as well as transparency, even under the presence of uncertainty, delay, and quantization error.


Author(s):  
Jay Prakash ◽  
T. V. Vijay Kumar

A data warehouse system uses materialized views extensively in order to speedily tackle analytical queries. Considering that all possible views cannot be materialized due to maintenance cost and storage constraints, the selection of an appropriate set of views to materialize that achieve an optimal trade-off among query response time, maintenance cost, and the storage constraint becomes an essential necessity. The selection of such an appropriate set of views for materialization is referred to as the materialized views selection problem, which is an NP-Complete problem. In the last two decades, several new selection approaches, based on heuristics, have been proposed. Most of these have used a single objective or weighted sum approach to address the various constraints. In this article, an attempt has been made to address the bi-objective materialized view selection problem, where the objective is to minimize the view evaluation cost of materialized views and the view evaluation cost of the non-materialized views, using the Improved Strength Pareto Evolutionary Algorithm. The experimental results show that the proposed multi-objective view selection algorithm is able to select the Top-K views that achieves a reasonable trade-off between the two objectives. Materializing these selected views would reduce the query response times for analytical queries and thereby facilitates the decision-making process.


Author(s):  
Baojie Mu ◽  
Yaoyu Li ◽  
John E. Seem

A major class of extremum seeking control is based on the use of periodic dither perturbation of plant input for extracting the gradient information. Presence of the dither input into the steady state operation is undesirable in practice due to the possible excessive wear of actuators. It is thus beneficial to stop the dithering action after the extremum seeking process reaches its steady state. In this paper, we propose a method for automatically discriminate between the steady state and the transient state modes of extremum seeking control process using the sinusoidal detection techniques. Some design guidelines are proposed for the parameter selection of the relevant sinusoidal detection scheme. The proposed scheme is validated with simulation study.


Author(s):  
Sunil Sharma ◽  
Addepalli Srinivasa

The case provides rich description of an actual decision making situation related to selection of a consulting company. An Indian company a US based manufacturer of Widgets with intent to capture 20% market share in India. When in-house efforts didn't yield quick results, the company decided to explore the option of hiring a consulting firm to develop a growth strategy. Various stakeholders were involved in the actual decision making which was seen as a trade-off between expertise and price.


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