A Weighted Aggregation Rule in Crowdsourcing Systems for High Result Accuracy

2014 ◽  
Author(s):  
Dejun Yue ◽  
Ge Yu ◽  
Derong Shen ◽  
Xiaocong Yu
Keyword(s):  
Aggregation Rule ◽  
High Result

scholarly journals COHORT-BASED GRAMMAR TEACHING MODEL DEVELOPMENT IN STRUCTURE SECTION OF TOEFL AT SEKOLAH TINGGI ILMU MANAJEMEN SUKMA MEDAN

2018 ◽  
Vol 15 (1) ◽  
Author(s):  
Hidayat Hidayat ◽  
Busmin Gurning ◽  
Rahmad Husein
Keyword(s):  
Research And Development ◽  
Model Development ◽  
Multiple Choice ◽  
Multiple Choice Question ◽  
Teaching Model ◽  
Multiple Choice Questions ◽  
Time Saving ◽  
Grammar Teaching ◽  
High Result ◽  
Teaching Grammar

This research makes use of Research and Development method in which a teaching model is developed to teaching grammar in the form of multiple-choice questions. It is Cohort-based Grammar Teaching Model that is developed. In the development of this teaching model, fifty students took part in. The research was conducted at Sekolah Tinggi Ilmu Manajemen Sukma Medan on jalan Sakti Lubis no. 80. To figure out what teaching model which the students need, questionaire was disseminated. In analyzing the available data from the instrument, questionaire inspired by Guttman Scale was made with numerous modifications in statements and questions.The analysis reveals that the participants require an intersting and fun grammar teaching model; easy to understand and more efective; quick problem-solving, time-saving  and target-oriented.  Due to this reason, eventually, Cohort-based Grammar Teaching Model is not mediocrewhere it is capable of alternating grammar problem for multiple-choice question in structure part of the TOEFL in a relative instant high result way.Keywords: Research and Development, Teaching Grammar, Multiple-choice question, Cohort     

scholarly journals The Google Lens analyzing quality: an analysis of the possibility to use in the educational process

2019 ◽  
Vol 53 (1) ◽  
pp. 219-234
Author(s):  
Viktor B. Shapovalov ◽  
Yevhenii B. Shapovalov ◽  
Zhanna I. Bilyk ◽  
Anna P. Megalinska ◽  
Ivan O. Muzyka
Keyword(s):  
Plant Species ◽  
Stem Education ◽  
Physical Characteristics ◽  
Educational Process ◽  
Mobile Software ◽  
Local Endemic ◽  
High Result ◽  
Plant Stem ◽  
Recognition Efficiency ◽  
Made In

Biology is a fairly complicated initial subject because it involves knowledge of biodiversity. Google Lens is a unique, mobile software that allows you to recognition species and genus of the plant student looking for. The article devoted to the analysis of the efficiency of the functioning of the Google Lens related to botanical objects. In order to perform the analysis, botanical objects were classified by type of the plant (grass, tree, bush) and by part of the plant (stem, flower, fruit) which is represented on the analyzed photo. It was shown that Google Lens correctly identified plant species in 92.6% cases. This is a quite high result, which allows recommending this program using during the teaching. The greatest accuracy of Google Lens was observed under analyzing trees and plants stems. The worst accuracy was characterized to Google Lens results of fruits and stems of the bushes recognizing. However, the accuracy was still high and Google Lens can help to provide the researches even in those cases. Google Lens wasn’t able to analyze the local endemic Ukrainian flora. It has been shown that the recognition efficiency depends more on the resolution of the photo than on the physical characteristics of the camera through which they are made. In the article shown the possibility of using the Google Lens in the educational process is a simple way to include principles of STEM-education and “New Ukrainian school” in classes.

10 minute consultation: High result in prostate specific antigen test

BMJ ◽  
2003 ◽  
Vol 327 (Suppl S4) ◽  
pp. 0310367
Author(s):  
M Mokete ◽  
K J O'Flynn ◽  
A R Palmer
Keyword(s):  
Prostate Specific Antigen ◽  
Specific Antigen ◽  
Antigen Test ◽  
Prostate Specific Antigen Test ◽  
High Result

scholarly journals Crowd Wisdom Relies on Agents’ Ability in Small Groups with a Voting Aggregation Rule

2017 ◽  
Vol 63 (3) ◽  
pp. 818-828 ◽  
Author(s):  
Marc Keuschnigg ◽  
Christian Ganser
Keyword(s):  
Small Groups ◽  
Aggregation Rule ◽  
Crowd Wisdom

NON-MANIPULABLE PARTITIONING

2012 ◽  
Vol 08 (02) ◽  
pp. 273-282 ◽  
Author(s):  
CONAL DUDDY ◽  
JUAN PEROTE-PEÑA ◽  
ASHLEY PIGGINS
Keyword(s):  
Social Choice ◽  
Aggregation Rule ◽  
Choice Problem ◽  
Social Classification ◽  
The Social

Consider the following social choice problem. A group of individuals seek to classify the elements of X as belonging in one of two sets. The individuals may disagree as to how the elements of X should be classified, and so an aggregation rule is applied to determine a compromise outcome. We require that the social classification should not be imposed, nor should it be manipulable. We prove that the only aggregation rules satisfying these properties are dictatorships.

scholarly journals General questions of building the stage of pre-competition training

2021 ◽  
pp. 124-127
Author(s):  
V.I. Tereshchenko ◽  
B.M. Koropatov ◽  
P.V. Nikolenko
Keyword(s):  
Current System ◽  
Fundamental Importance ◽  
Preliminary Training ◽  
Working Capacity ◽  
Sports Training ◽  
Training Stage ◽  
High Result ◽  
The 1960S ◽  
High Level

Success in competition is ensured by long-term preparation, but direct pre-competition training (DPT) is of fundamental importance, with the help of which athletes must bring themselves to a state of high or the highest working capacity. Modern views on the essence and construction of preliminary training stage most intensively began to be formed since the 1960s. The reason for this was the appearance of such fundamental projects, such as "Periodization of sports training" by L.P. Matveva, "The current system of sports training" by N.G. Ozolina, "The coach of athletics trainer" ed. L.S. Khomenkovoi. The success in competitions is provided by long-term training, but fundamental importance has a direct pre-competition training (DPT), by which athletes should lead themselves to a state of high or the highest efficiency. If the goal of competition is only of training or control nature and athlete is not eager to achieve a high result, then DPT is not necessary before the starts. Such a combination of the process of training and participation in competitions may occur in the first competitions at the beginning of the competitive period. However, when there is a participating in high-level competitions or even more in the culminating competitions, in such an event, DPT is essential. Mistakes in the building of the phase of the DPT are often the reason not only for an unsuccessful speech in the main competition, but it is also the reason for a slowed down growth of achievements and even deterioration of them. All training of an athlete can be considered successful if he shows the best result in the crucial competition with a significant progress in his accomplishments.

scholarly journals Model Dinamik sebagai Upaya Pencapaian Sinkronisasi Nitrogen pada Budidaya Selada dengan Pupuk Hijau Paitan

2013 ◽  
Vol 14 (2) ◽  
pp. 127-134
Author(s):  
Yuni Agung Nugroho ◽  
Elik Murni Ningtyas Ningsih
Keyword(s):  
Dynamic Model ◽  
Green Manure ◽  
First Year ◽  
Tithonia Diversifolia ◽  
Vegetable Crop ◽  
Synchronization Model ◽  
High Result ◽  
Two Phases ◽  
Availability Model ◽  
N Requirement

Lettuce (Lactuca sativa) is vegetable crop that consumed part of the leaf and harvested at a phase of vegetative. Nitrogen play important role in growth at phase of vegetative. Nitrogen in spacious have the character of easy to lose because of leaching. Increasing yield of lettuce can be done byimproving Nitrogen synchronization, that is precisely usage moment with ready moment of N during and amount of its. The research was aimed to study of the pattern nitrogen requirement for lettuce crop, ready pattern of nitrogen by Tithonia diversifolia and design nitrogen synchronization model between lettuce crop with green manure of T. diversifolia. The research were divided in two phases that are phase research 1: Dynamic modeling for nitrogen synchronization on lettuce cultivation by green manure of T. diversifolia, and phase research 2: Fertilizer technology of high nitrogen synchronization on lettuce cultivation by green manure of T. diversifolia. The result of phase research 1 (first year research) shows that dynamic model of N requirement by lettuce crop, release and availability model of N by T. diversifolia and synchronization model of N between requirement of N lettuce with release and availability of N by T. diversifolia. The dynamic model indicate that giving 10 t ha-1 of T. diversifolia which given 2 weeks before transplanting at lettuce crop can support high result and growth because happened good synchronization of N.

Sign in / Sign up

Export Citation Format

Share Document