Automating Guide selection process of the Department through Web Application

2020 ◽  
Author(s):  
T. Sasikala ◽  
S. Vigneshwari ◽  
Bandreddi Sandeep
Keyword(s):  
Web Application ◽  
Selection Process

scholarly journals GEO-TAGGED IMAGE RETRIEVAL FROM MAPILLARY STREET IMAGES FOR A TARGET BUILDING

2020 ◽  
Vol XLIV-4/W3-2020 ◽  
pp. 151-158
Author(s):  
N. Çelik ◽  
E. Sümer
Keyword(s):  
Image Retrieval ◽  
Web Application ◽  
Selection Process ◽  
Partial Coverage

Abstract. This study aims to investigate the possibility to automate the image selection process for the target building from Mapillary images through a web application where the user only initiates one image of the target building as a query. Using the data provided with Mapillary API and Overpass API, all images having full or partial coverage of the target building were selected. Then the images were segmented by using a pre-trained U-Net model to discard any images having less than 20% building coverage. The experiments showed promising results yielding 0.971 and 0.887 of overall accuracy after segmentation steps for two different target buildings.

The role of developers’ social relationships in improving service selection

2016 ◽  
Vol 12 (4) ◽  
pp. 477-503 ◽  
Author(s):  
Devis Bianchini ◽  
Valeria De Antonellis ◽  
Michele Melchiori
Keyword(s):  
Social Network ◽  
Social Relationships ◽  
Web Application ◽  
Selection Process ◽  
Service Selection ◽  
Third Party ◽  
Data Service ◽  
Application Development ◽  
Content Type ◽  
Data Services

Purpose Modern Enterprise Web Application development can exploit third-party software components, both internal and external to the enterprise, that provide access to huge and valuable data sets, tested by millions of users and often available as Web application programming interfaces (APIs). In this context, the developers have to select the right data services and might rely, to this purpose, on advanced techniques, based on functional and non-functional data service descriptive features. This paper focuses on this selection task where data service selection may be difficult because the developer has no control on services, and source reputation could be only partially known. Design/methodology/approach The proposed framework and methodology are apt to provide advanced search and ranking techniques by considering: lightweight data service descriptions, in terms of (semantic) tags and technical aspects; previously developed aggregations of data services, to use in the selection process of a service the past experiences with the services when used in similar applications; social relationships between developers (social network) and their credibility evaluations. This paper also discusses some experimental results regarding the plan to expand other experiments to check how developers feel using the approach. Findings In this paper, a data service selection framework that extends and specializes an existing one for Web APIs selection is presented. The revised multi-layered model for data services is discussed and proper metrics relying on it, meant for supporting the selection of data services in a context of Web application design, are introduced. Model and metrics take into account the network of social relationships between developers, to exploit them for estimating the importance that a developer assigns to other developers’ experience. Originality/value This research, with respect to the state of the art, focuses attention on developers’ social networks in an enterprise context, integrating the developers’ credibility assessment and implementing the social network-based data service selection on top of a rich framework based on a multi-perspective model for data services.

scholarly journals Modified Differential Evolution Algorithm for a Transportation Software Application

2019 ◽  
Vol 5 (4) ◽  
pp. 84
Author(s):  
Supattananon ◽  
Akararungruangkul
Keyword(s):  
Differential Evolution ◽  
Real Time ◽  
Web Application ◽  
Transportation Problem ◽  
Selection Process ◽  
Differential Evolution Algorithm ◽  
Optimal Solution ◽  
Raw Material ◽  
Production Plant ◽  
Solution Approach

This research developed a solution approach that is a combination of a web application and the modified differential evolution (MDE) algorithm, aimed at solving a real-time transportation problem. A case study involving an inbound transportation problem in a company that has to plan the direct shipping of a finished product to be collected at the depot where the vehicles are located is presented. In the newly designed transportation plan, a vehicle will go to pick up the raw material required by a certain production plant from the supplier to deliver to the production plant in a manner that aims to reduce the transportation costs for the whole system. The reoptimized routing is executed when new information is found. The information that is updated is obtained from the web application and the reoptimization process is executed using the MDE algorithm developed to provide the solution to the problem. Generally, the original DE comprises of four steps: (1) randomly building the initial set of the solution, (2) executing the mutation process, (3) executing the recombination process, and (4) executing the selection process. Originally, for the selection process in DE, the algorithm accepted only the better solution, but in this paper, four new selection formulas are presented that can accept a solution that is worse than the current best solution. The formula is used to increase the possibility of escaping from the local optimal solution. The computational results show that the MDE outperformed the original DE in all tested instances. The benefit of using real-time decision-making is that it can increase the company’s profit by 5.90% to 6.42%.

A comparison of the United Kingdom Clinical Aptitude Test (UK-CAT) with a traditional admission selection process

2009 ◽  
pp. 1-6 ◽  
Author(s):  
Nishan Fernando ◽  
Gordon Prescott ◽  
Jennifer Cleland ◽  
Kathryn Greaves ◽  
Hamish McKenzie
Keyword(s):  
United Kingdom ◽  
Selection Process ◽  
Aptitude Test ◽  
The United Kingdom

Two Short Tests Fail to Detect Vigilance Decrements

2001 ◽  
Vol 17 (1) ◽  
pp. 48-55 ◽  
Author(s):  
Juan Botella ◽  
María José Contreras ◽  
Pei-Chun Shih ◽  
Víctor Rubio
Keyword(s):  
Individual Differences ◽  
High Performance ◽  
Selection Process ◽  
Vigilance Task ◽  
Air Traffic Controllers ◽  
Job Selection ◽  
Performance Deterioration ◽  
Short Test ◽  
Psychological Dimensions

Summary: Deterioration in performance associated with decreased ability to sustain attention may be found in long and tedious task sessions. The necessity for assessing a number of psychological dimensions in a single session often demands “short” tests capable of assessing individual differences in abilities such as vigilance and maintenance of high performance levels. In the present paper two tasks were selected as candidates for playing this role, the Abbreviated Vigilance Task (AVT) by Temple, Warm, Dember, LaGrange and Matthews (1996) and the Continuous Attention Test (CAT) by Tiplady (1992) . However, when applied to a sample of 829 candidates in a job-selection process for air-traffic controllers, neither of them showed discriminative capacity. In a second study, an extended version of the CAT was applied to a similar sample of 667 subjects, but also proved incapable of properly detecting individual differences. In short, at least in a selection context such as that studied here, neither of the tasks appeared appropriate for playing the role of a “short” test for discriminating individual differences in performance deterioration in sustained attention.

Investigating the Unified Motive Scales

2020 ◽  
pp. 1-5
Author(s):  
Martin Bettschart ◽  
Marcel Herrmann ◽  
Benjamin M. Wolf ◽  
Veronika Brandstätter
Keyword(s):  
Field Study ◽  
Predictive Validity ◽  
Selection Process ◽  
Police Department ◽  
Longitudinal Field ◽  
Explicit Motives ◽  
Achievement Motive

Abstract. Explicit motives are well-studied in the field of personality and motivation psychology. However, the statistical overlap of different explicit motive measures is only moderate. As a consequence, the Unified Motive Scales (UMS; Schönbrodt & Gerstenberg, 2012 ) were developed to improve the measurement of explicit motives. The present longitudinal field study examined the predictive validity of the UMS achievement motive subscale. Applicants of a police department ( n = 168, Mage = 25.11, 53 females and 115 males) completed the UMS and their performance in the selection process was assessed. As expected, UMS achievement predicted success in the selection process. The findings provide first evidence for the predictive validity of UMS achievement in an applied setting.

Microsurgery Fellowship Website and Social Media Presence: Are Programs Optimizing Recruitment Strategy?

2020 ◽  
Author(s):  
Andrew Atia ◽  
Hannah C. Langdell ◽  
Andrew Hollins ◽  
Ronnie L. Shammas ◽  
Adam Glener ◽  
...  
Keyword(s):  
Social Media ◽  
Plastic Surgery ◽  
San Francisco ◽  
Selection Process ◽  
Recruitment Strategy ◽  
Published Data ◽  
Social Media Presence ◽  
Eligibility Requirements ◽  
Program Description

Abstract Background Microsurgery fellowship applicants make decisions for future training based on information obtained from colleagues, mentors, and microsurgery fellowship program Websites (MFWs). In this study, we sought to evaluate the accessibility and quality of available information by microsurgery programs by analyzing the most commonly used web resources and social media outlets for applicants. Methods The San Francisco (SF) Match and American Society of Reconstructive Microsurgery Websites were queried in April 2020 for microsurgery fellowship programs (MFPs) participating in the SF Match. Twenty-two independent variables of information were assessed on MFWs based on previously published data. Social media presence was also assessed by querying Facebook, Instagram, and Twitter for official hospital, plastic surgery residency, and microsurgery fellowship accounts. Results All 24 MFWs participating in the SF Match had a webpage. Program description, faculty listing, operative volume, and eligibility requirements were listed for all programs (100%). The majority of MFWs listed affiliated hospitals (75%), provided a link to the fellowship application (66.7%), listed interview dates (66.7%), and highlighted research interests (50%). A minority of MFWs provided information on conference schedule (37.5%), current fellow listing (25%), previous fellow listing (16.67%), and positions held by previous fellows (8.33%). No MFWs (0%) presented information on selection process, or rotation schedule.All hospitals with an MFP had a Facebook page and nearly all had Instagram (83.3%) and Twitter accounts (95.8%). Plastic surgery residency programs at the same institution of an MFP had social media presence on Facebook (38.9%), Twitter (38.9%), and Instagram (66.7%). Only three MFPs had Facebook accounts (12.5%) and none had Instagram or Twitter accounts. Conclusion As the field of microsurgery continues to grow, the need for effective recruitment and training of microsurgeons continues to be essential. Overall, we conclude that both the accessibility and quality of information available to applicants are limited, which is a missed opportunity for recruitment.

DESIGN COMPUTER-BASED APPLICATION FOR RECRUITMENT AND SELECTION EMPLOYEE AT PT. INDONUSA TELEMEDIA

CCIT Journal ◽  
2011 ◽  
Vol 4 (2) ◽  
pp. 185-196
Author(s):  
Tri Pujadi
Keyword(s):  
Selection Process ◽  
Computer Based ◽  
Recruitment And Selection

This report contains about one of the applications that used by PT. Indonusa Telemedia. The function of this application to facilitate the recruitment and selection process of the company employee’s candidate. The process becomes more efficient because the application can organize the employee candidate data, interview status (proceed, hire, keep, and reject), and his comments based on the interview. The benefit for the company that uses this application is that they can increase their level of efficiency, such as in time and man labor. The level of efficiency can be increase because this application can sort the employee’s candidate data as the request of the department that request addition of employee and centralizing information in one application database.

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