scholarly journals A Multi-Factor User Interface Components Layout Problem

Author(s):  
Dinesh K. Sharma ◽  
S. K. Peer ◽  
Julius A. Alade

<p class="MsoBodyText" style="margin: 0in 0.5in 0pt; mso-pagination: none;"><span style="font-size: 10pt;"><span style="font-family: Times New Roman;">This paper presents a multi-factor layout model which combines the qualitative and quantitative factors for the facilities layout problem.<span style="mso-spacerun: yes;">&nbsp; </span>The proposed model is applied to the design of the user interface in order to obtain the best layout of the facilities in which the closeness rating scores are evaluated by using the Goals, Operators, Methods, and Selection (GOMS) technique. The results of the proposed model are compared with that of an existing model to obtain the layouts of user interface components. The model developed here has significant relevance for facility layout design in achieving an optimal interface by structuring the layout of a building to enhance and support production. The user interface model provides support for quick response to changes in customer demand and inventory planning particularly in such an area where timely transfer of information is crucial.</span></span></p>

Author(s):  
Dinesh K. Sharma ◽  
S. K. Peer ◽  
Julius A. Alade

This paper presents a multi-factor layout model which combines the qualitative and quantitative factors for the facilities layout problem. The proposed model is applied to the design of the user interface in order to obtain the best layout of the facilities in which the closeness rating scores are evaluated by using the Goals, Operators, Methods, and Selection (GOMS) technique. The results of the proposed model are compared with that of an existing model to obtain the layouts of user interface components. The model developed here has significant relevance for facility layout design in achieving an optimal interface by structuring the layout of a building to enhance and support production. The user interface model provides support for quick response to changes in customer demand and inventory planning particularly in such an area where timely transfer of information is crucial.


2004 ◽  
Vol 14 (2) ◽  
pp. 171-192 ◽  
Author(s):  
S.K. Peer ◽  
Dinesh Sharma ◽  
K. Ravindranath ◽  
M.M. Naidu

A multi-goal layout problem may be formulated as a Quadratic Assignment model, considering multiple goals (or factors), both qualitative and quantitative in the objective function. The facilities layout problem, in general, varies from the location and layout of facilities in manufacturing plant to the location and layout of textual and graphical user interface components in the human?computer interface. In this paper, we propose two alternate mathematical approaches to the single-objective layout model. The first one presents a multi-goal user interface component layout problem, considering the distance-weighted sum of congruent objectives of closeness relationships and the interactions. The second one considers the distance-weighted sum of congruent objectives of normalized weighted closeness relationships and normalized weighted interactions. The results of first approach are compared with that of an existing single objective model for example task under consideration. Then, the results of first approach and second approach of the proposed model are compared for the example task under consideration.


2009 ◽  
Vol 26 (02) ◽  
pp. 257-284 ◽  
Author(s):  
S. K. PEER ◽  
DINESH K. SHARMA ◽  
K. RAVINDRANATH ◽  
M. M. NAIDU

The multi-criteria facilities layout problem can be formulated as a quadratic assignment model that can handle multiple qualitative and quantitative factors in the objective function. Some studies have shown that the techniques and tools of facilities layout problems can equally be applied for the layout design of user interface components in human-computer interface. This paper presents an alternate approach, which handles multiple qualitative and quantitative factors in a different manner separately in the objective function to obtain the initial layouts. The proposed approach also consists of a layout procedure, in which the pair of facilities with the least composite criterion value has been selected to be placed far apart in the layout to generate an initial layout in the construction procedure. The results of the proposed approach are compared with that of an existing approach which handles a number of qualitative and quantitative factors in the same manner as in the objective function to obtain the initial layouts for the example task of the user interface components layout problem under consideration.


2012 ◽  
Vol 442 ◽  
pp. 87-91
Author(s):  
Jian Chun Zhang ◽  
Hai Hui Shen

Traditional interactive software and its User Interface (UI) have many shortcomings, so it's hard to meet the needs of users. But the new personalized interface model has good expansibility as it's based on XML language. In addition, the separate storage of XML file and executable programs fully realize the separation of application logic and UI.


2010 ◽  
Vol 37-38 ◽  
pp. 116-121
Author(s):  
Yu Lan Li ◽  
Bo Li ◽  
Su Jun Luo

In the facility layout decisions, the previous general design principle is to minimize material handling costs, and the objective of these old models only considers the costs of loaded trip, without regard to empty vehicle trip costs, which do not meet the actual demand. In this paper, the unequal-sized unidirectional loop layout problem is analyzed, and the model of facility layout is improved. The objective of the new model is to minimize the total loaded and empty vehicle trip costs. To solve this model, a heuristic algorithm based on partheno-genetic algorithms is designed. Finally, an unequal-sized unidirectional loop layout problem including 12 devices is simulated. Comparison shows that the result obtained using the proposed model is 20.4% better than that obtained using the original model.


2020 ◽  
Author(s):  
Lucas R. V. Messias ◽  
Cristiano R. Steffens ◽  
Paulo L. J. Drews-Jr ◽  
Silvia S. C. Botelho

Image enhancement is a critical process in imagebased systems. In these systems, image quality is a crucial factor to achieve a good performance. Scenes with a dynamic range above the capability of the camera or poor lighting are challenging conditions, which usually result in low contrast images, and, with that, we can have the underexposure and/or overexposure problem. In this work, our aim is to restore illexposed images. For this purpose, we present UCAN, a small and fast learning-based model capable to restore and enhance poorly exposed images. The obtained results are evaluated using image quality indicators which show that the proposed network is able to improve images damaged by real and simulated exposure. Qualitative and quantitative results show that the proposed model outperforms the existing models for this objective.


Author(s):  
Chang-Su Kim ◽  
So-Ra Yu ◽  
Sung-Han Kim ◽  
Seung-Yun Lee ◽  
Hoe-Kyung Jung

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