scholarly journals Classification of Coffee Beans by GC-C-IRMS, GC-MS, and1H-NMR

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Victoria Andrea Arana ◽  
Jessica Medina ◽  
Pierre Esseiva ◽  
Diego Pazos ◽  
Julien Wist

In a previous work using1H-NMR we reported encouraging steps towards the construction of a robust expert system for the discrimination of coffees from Colombia versus nearby countries (Brazil and Peru), to assist the recent protected geographical indication granted to Colombian coffee in 2007. This system relies on fingerprints acquired on a 400 MHz magnet and is thus well suited for small scale random screening of samples obtained at resellers or coffee shops. However, this approach cannot easily be implemented at harbour’s installations, due to the elevated operational costs of cryogenic magnets. This limitation implies shipping the samples to the NMR laboratory, making the overall approach slower and thereby more expensive and less attractive for large scale screening at harbours. In this work, we report on our attempt to obtain comparable classification results using alternative techniques that have been reported promising as an alternative to NMR: GC-MS and GC-C-IRMS. Although statistically significant information could be obtained by all three methods, the results show that the quality of the classifiers depends mainly on the number of variables included in the analysis; hence NMR provides an advantage since more molecules are detected to obtain a model with better predictions.

2000 ◽  
Vol 18 (9) ◽  
pp. 363-364
Author(s):  
Daniel Figeys

LITIGASI ◽  
2016 ◽  
Vol 15 (1) ◽  
Author(s):  
Tuti Rastuti

Prepare leaders with integrity processed fostering of the family. Various methods are used to determine the state 's future leaders, both through the regeneration of the cadre, the appointment or election. Election is a means to process and determine who will lead and hold the mandate of the people they lead. Election is a process, but the nature of the leader determines to be seen from the quality of his personality. Communities are often faced with the dilemma of how good a leader ? Values of the Islamic leadership in the family will answer what and how a leader with high integrity. Therefore, the family is the smallest unit of a miniature community. Integration leader is a leader who has a commitment to his family. The leader of the ummah in a large scale is determined by its leadership in the small-scale leader applying Islamic values in the family.Keywords : Islamic Values; Family; Leadership; LegislativeABSTRAKMempersiapkan pemimpin yang berintegritas diproses pembinaannya dari keluarga. Berbagai cara dilakukan oleh negara untuk menentukan calon pemimpin, baik melalui regenerasi pengkaderan, penunjukan ataupun pemilihan. Pemilu merupakan sarana untuk mengolah dan menentukan siapa yang akan memimpin dan memegang amanah rakyat yang dipimpinnya. Pemilu merupakan proses, namun hakikat menentukan pemimpin harus dilihat dari  kualitas kepribadiannya. Masyarakat sering dihadapkan pada dilema sosok pemimpin bagaimanakah yang baik? Nilai-Nilai kepemimpinan Islam dalam berkeluarga akan menjawab apa dan bagaimana pemimpin yang memiliki integritas tinggi. Sebab, keluarga merupakan miniatur unit terkecil dari suatu komunitas. Pemimpin yang berintegrasi adalah pemimpin yang memiliki komitmen  terhadap keluarganya. Pemimpin umat dalam skala yang besar ditentukan oleh kepemimpinannya dalam skala kecil yaitu pemimpin yang menerapkan nilai-nilai Islam dalam berkeluarga. Kata Kunci: Nilai Islam; Keluarga; Kepemimpinan; Legislatif


Author(s):  
R. Sophia Porchelvi ◽  
P. Selvavathi

Delta regions of the Cauvery River basin are one of the significant areas of rice production in India. In spite of large-scale utilization of the river basin for irrigation and drinking purposes, the lack of appropriate water management has seemingly deteriorated the water quality due to increasing anthropogenic activities. Vellore is the second most populous district of Tamil Nadu in India where the Palar River flowing towards east for about 295 Km. Vellore is surrounded by many leather tanneries and small scale dying industries and their effluents are discharged into the Palar river causing impact on the quality of the underground water. To assess the extent of deterioration, physicochemical characteristics of surface water were analyzed select regions of Cauvery Delta River basin and Palar region, Tamil Nadu, during March 2016 to May 2016. This study aimed to examine quality of drinking groundwater. The results represented whether the water was suitable or unsuitable for drinking purposes in this area. It was also observed that some areas like Tiruvarur, Needamangalam, Kamalapuram, Arcot, Soraiyur, Ranipet had low quality drinking water. It is suggested to take some necessary measures for supplying desirable water to the people living in these areas.


2013 ◽  
Vol 2 (2) ◽  
Author(s):  
Hakkun Elmunsyah

Kemendiknas telah melakukan investasi cukup besar berupa pembangunan Jejaring komputer pendidikan nasional yang disebut Jaringan Pendidikan Nasional (Jardiknas), pada sekolah menengah kejuruan (SMK) di seluruh Indonesia yang dikenal dengan nama ICT center. Penelitian ini bertujuan untuk menemukan model manajemen ICT center sesuai karakteristik SMK sehingga dapat memberikan kontribusi mutu pada SMK tersebut. Penelitian ini merupakan penelitian pengembangan atau Research and Development yang dikembangkan oleh Borg and Gall. Hasil secara keseluruhan penelitian menunjukkan berdasarkan uji coba keefektivan kinerja manajemen pada skala terbatas dan lebih luas menunjukkan bahwa model manajemen ICT center memenuhi kriteria sangat efektif. DEVELOPING A MODEL OF ICT CENTER MANAGEMENTAbstractDeveloping a Model of ICT Center Management. The Ministry of National Education has made considerable investments in building National Education Computer Networks in vocational high schools (VHSs) all over Indonesia, well-known as ICT Centers. This study aims to develop a model of ICT Center management in accordance with the characteristics of VHSs so that it can give contributions to the quality of VHSs. This study was a research and development study using a model by Borg and Gall. The results for all of the study is small-scale and large-scale tryouts on the effectiveness of the management performance show that the model of the ICT center management is very effective.


2013 ◽  
Vol 10 (11) ◽  
pp. 14535-14555
Author(s):  
L. Chen ◽  
Y. Zhong ◽  
G. Wei ◽  
Z. Shen

Abstract. The identification of priority management areas (PMAs) is essential for the control of non-point source (NPS) pollution, especially for a large-scale watershed. However, previous studies have typically focused on small-scale catchments adjacent to specific assessment points; thus, the interactions between multiple river points remain poorly understood. In this study, a multiple-assessment-point PMA (MAP-PMA) framework was proposed by integrating the upstream sources and the downstream transport aspects of NPS pollution. Based on the results, the integration of the upstream input changes was vital for the final PMAs map, especially for downstream areas. Contrary to conventional wisdom, this research recommended that the NPS pollutants could be best controlled among the upstream high-level PMAs when protecting the water quality of the entire watershed. The MAP-PMA framework provided a more cost-effective tool for the establishment of conservation practices, especially for a large-scale watershed.


2021 ◽  
Vol 33 (S1) ◽  
pp. 70-70
Author(s):  
Sook Young Lee ◽  
Lillian Hung ◽  
Habib Chaudhury

Reduction in competence makes older adults with dementia more sensitive to the influence of the physical environment. The aim of the longitudinal study was to examine whether residents with dementia in long-term facilities with variability in physical environmental characteristics in Vancouver (N=11), Canada and Stockholm (N=13), Sweden had a difference in their quality of life (QoL). QoL was assessed using Dementia Care Mapping (DCM) tool three times over one year for the reliability of data. DCM is a technique and observational framework devised to systematically investigate QoL from the perspective of the older adults with dementia. The results of the study demonstrated that the residents with dementia living in a homelike and positive stimulating setting showed a higher level of potential positive engagement, and less agitated and withdrawn behaviors compared to those in the large-scale institutional setting. Residents living in a large-scale institutional setting in Canada showed so far as five times more agitated/distressed behaviors and twice more withdrawal compared to the ones living in a small-scale homelike setting in Sweden. The study supports that the large-scale institutional environment was considerably associated with levels of lower quality of life among the residents with dementia.


2022 ◽  
Vol 2161 (1) ◽  
pp. 012001
Author(s):  
Harshit Sharma ◽  
G Sumathi

Abstract The Covid -19 is arguably the biggest pandemic in history and there are a lot of challenges that must be dealt with. One of the biggest challenges post Covid-19 is to tackle quality control challenges. This research paper discusses some of these challenges and solutions using an integrated internet of things (IoT) and internet of protocols (IoP) based approach and further showing its implementation in the industry world and hence, proving to be a solution for damage assessment. With the help of IoT- enabled quality control system, six-sigma rule is also analysed. Post Covid crisis, it is important for every institution to gain back customer trust so quality of materials should be maintained and IoT enables us to do the same. The unification of industrial IoT (IIoT) and industry 4.0 is also discussed as it leads us to understand that this unification is the next evolution of smart manufacturing and digital technologies. This methodology can lead us to accelerated innovation in applications for overcoming the eventual challenges post Covid in the near future. Also, small-scale/large-scale companies making use of the above research methodology can adhere to six-sigma criterion.


2020 ◽  
Vol 11 (6) ◽  
pp. 607-612
Author(s):  
T. Suguna ◽  

Over the last three decades, the commercial aquaculture has experienced spectacular growth. Many species have gone from small scale regional production to large scale global production. Concomitant with the rapid growth there also has been the increased occurrence of problems that accompany all agricultural endeavours. All the problems are stress influenced leading to diseases, impacting the profitability of the industries. In aquaculture also inspite of the unprecedented development of the intensified culture practices many economical problems have arise that are threatening the sustainability of culture systems. The root cause for all is stress. The word, “stress” is very common butreflects vast effective results. It is an invisible factor, influencing the survivality, growth, reproduction, production in culture fish especially. It is much easier for diseases to proliferate in the culture environment than in wild. Defining what levels of stressors are normal and acceptable is not easy. A level of stressor that is problematic under one set of environmental conditions might not be the same under another. The susceptibility of disease occurrence differs within species and age groups. Different stress factor such as inadequate physico chemical and microbial quality of culture water, poor nutritional stems and high stocking density can cause infection by opportunistic pathogens. In aquaculture, the stress plays major role on production, productivity, sustainability of the culture, economic loss and degradation of economic standards. A summation of causes for the acute and chronic stressors will enlighten the aqua farmers, scientists and fishery officials in designing environmentally friendly controlling measures, in obtaining higher yields.


Author(s):  
Wagner Al Alam ◽  
Francisco Carvalho Junior

The efforts to make cloud computing suitable for the requirements of HPC applications have motivated us to design HPC Shelf, a cloud computing platform of services for building and deploying parallel computing systems for large-scale parallel processing. We introduce Alite, the system of contextual contracts of HPC Shelf, aimed at selecting component implementations according to requirements of applications, features of targeting parallel computing platforms (e.g. clusters), QoS (Quality-of-Service) properties and cost restrictions. It is evaluated through a small-scale case study employing a componentbased framework for matrix-multiplication based on the BLAS library.


2020 ◽  
Vol 12 (22) ◽  
pp. 3708 ◽  
Author(s):  
Ziyi Feng ◽  
Guanhua Huang ◽  
Daocai Chi

Many approaches have been developed to analyze remote sensing images. However, for the classification of large-scale problems, most algorithms showed low computational efficiency and low accuracy. In this paper, the newly developed semi-supervised extreme learning machine (SS-ELM) framework with k-means clustering algorithm for image segmentation and co-training algorithm to enlarge the sample sets was used to classify the agricultural planting structure at large-scale areas. Data sets collected from a small-scale area within the Hetao Irrigation District (HID) at the upper reaches of the Yellow River basin were used to evaluate the SS-ELM framework. The results of the SS-ELM algorithm were compared with those of the random forest (RF), ELM, support vector machine (SVM) and semi-supervised support vector machine (S-SVM) algorithms. Then the SS-ELM algorithm was applied to analyze the complex planting structure of HID in 1986–2010 by comparing the remote sensing estimated results with the statistical data. In the small-scale case, the SS-ELM algorithm performed better than the RF, ELM, SVM, and S-SVM algorithms. For the SS-ELM algorithm, the average overall accuracy (OA) was in a range of 83.00–92.17%. On the contrary, for the other four algorithms, their average OA values ranged from 56.97% to 92.84%. Whereas, in the classification of planting structure in HID, the SS-ELM algorithm had an excellent performance in classification accuracy and computational efficiency for three major planting crops including maize, wheat, and sunflowers. The estimated areas by using the SS-ELM algorithm based on the remote sensing images were consistent with the statistical data, and their difference was within a range of 3–25%. This implied that the SS-ELM framework could be served as an effective method for the classification of complex planting structures with relatively fast training, good generalization, universal approximation capability, and reasonable learning accuracy.


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