scholarly journals IDENTIFIKASI TINGKAT KEBULATAN BUAH PEPAYA BERDASARKAN LUAS OBJEK DENGAN PENGOLAHAN CITRA

2018 ◽  
Vol 2 (2) ◽  
Author(s):  
Sila Abdullah Syakri ◽  
Mulyadi Mulyadi ◽  
Zulfan Khairil Simbolon

Abstrak — Dengan meningkatnya teknologi IT dalam hampir diseluruh bidang dan diantaranya bidang klasifikasi. Klaster ataupun klustering merupakan proses membagi data dalam suatu himpunan ke dalam beberapa kelompok yang mana kesamaan data dalam suatu kelompok lebih besar dibandingkan kesamaan data tersebut dengan data dalam kelompok lain. Potensi dari clustering adalah dapat digunakan untuk mengetahui struktur dalam data yang dapat digunakan lebih lanjut dalam berbagai aplikasi secara luas seperti klasifikasi, pengolahan gambar, pengenalan pola dalam bidang pertanian, proses pengenalan dan penentuan serta klasifikasi hasil pertanian pasca panen secara langsung memiliki peran yang sangat penting dalam teknologi pertanian.Hal ini juga yang menjadi masalah ketika pasca panen, baik dalam hal penyortiran. Bertitik tolak pada kasus tersebut, maka perlu adanya sebuah penelitian tentang sistem/metode/algoritma tentang tingkat kebulatan (Roudness) berdasarkan hal tersebut dibuatlah penelitian ini. Penelitian ini menggunakan data sekunder yang telah diperoleh pada penelitian sebelumnya yang dilakukan penulis untuk klasifikasi nantinya, adapun judul penelitianya adalah Identifikasi Tingkat Kebulatan Buah Pepaya Berdasarkan Luas Objek Dengan Pengolahan Citra. Adapun langkah yang dilakukan untuk menerapkan metode yang digunakan adalah sebagai berikut: Pertama, Pengambilan citra dan normalisasi. Kedua Segmentasi. Ketiga, ekstrasi tepi dan pelacakan kontur, peroleh kode rantai, keliling dan luas objek. Keempat perhitungan nilai kebulatan. Hasil penelitian ini bertujuan mampu memodelkan algoritma baru untuk mengetahui tingkat kebulatn objek (Buah pepaya)Kata Kunci :Luas, data,objek, keliling, KebulatanAbstract — With the cheapness of IT technology in the long time. Cluster or clustering is the process of dividing data in a group into several groups where the similarity of data in a group greater than the similarity of data with data in other groups. The potential of clustering can be used to view structures in data that can be used further in a wide range of applications such as image processing, mindset in agricultural products, the process of presentation and management and enhancement of post- harvest agricultural produce directly has a very important role in technology agriculture. This is also a problem during post- harvest, both in terms of sorting. Based on that point, it is necessary to have a research about the system / method / algorithm about the level of Roudness (Roudness) based on the thing that made this research. This study uses secondary data that has been developed in previous research conducted by the author for the class later, as for the title of the research is the level of Papaya Fruit Roughness Based on Area Objects With Image Processing. The steps - steps taken to apply the methods used are as follows: First, image retrieval and normalization. Second, Segmentation. Third, creative extraction and contour success, ethnic code, circumference and area of objects. Fourth,roundness calculation. The results of this study can be able to model a new algorithm to determine the level kebulatn object (papaya fruit)Keywords: Area, data, object, circumference, roundness

Author(s):  
R.W. Horne

The technique of surrounding virus particles with a neutralised electron dense stain was described at the Fourth International Congress on Electron Microscopy, Berlin 1958 (see Home & Brenner, 1960, p. 625). For many years the negative staining technique in one form or another, has been applied to a wide range of biological materials. However, the full potential of the method has only recently been explored following the development and applications of optical diffraction and computer image analytical techniques to electron micrographs (cf. De Hosier & Klug, 1968; Markham 1968; Crowther et al., 1970; Home & Markham, 1973; Klug & Berger, 1974; Crowther & Klug, 1975). These image processing procedures have allowed a more precise and quantitative approach to be made concerning the interpretation, measurement and reconstruction of repeating features in certain biological systems.


Author(s):  
Y. Kokubo ◽  
W. H. Hardy ◽  
J. Dance ◽  
K. Jones

A color coded digital image processing is accomplished by using JEM100CX TEM SCAN and ORTEC’s LSI-11 computer based multi-channel analyzer (EEDS-II-System III) for image analysis and display. Color coding of the recorded image enables enhanced visualization of the image using mathematical techniques such as compression, gray scale expansion, gamma-processing, filtering, etc., without subjecting the sample to further electron beam irradiation once images have been stored in the memory.The powerful combination between a scanning electron microscope and computer is starting to be widely used 1) - 4) for the purpose of image processing and particle analysis. Especially, in scanning electron microscopy it is possible to get all information resulting from the interactions between the electron beam and specimen materials, by using different detectors for signals such as secondary electron, backscattered electrons, elastic scattered electrons, inelastic scattered electrons, un-scattered electrons, X-rays, etc., each of which contains specific information arising from their physical origin, study of a wide range of effects becomes possible.


2008 ◽  
pp. 61-76
Author(s):  
A. Porshakov ◽  
A. Ponomarenko

The role of monetary factor in generating inflationary processes in Russia has stimulated various debates in social and scientific circles for a relatively long time. The authors show that identification of the specificity of relationship between money and inflation requires a complex approach based on statistical modeling and involving a wide range of indicators relevant for the price changes in the economy. As a result a model of inflation for Russia implying the decomposition of inflation dynamics into demand-side and supply-side factors is suggested. The main conclusion drawn is that during the recent years the volume of inflationary pressures in the Russian economy has been determined by the deviation of money supply from money demand, rather than by money supply alone. At the same time, monetary factor has a long-run spread over time impact on inflation.


Author(s):  
Dr. Jyotsna Sankpal ◽  
Dr. Jyotsna Takalikar

Rasa Shastra and Bhaishajya Kalpana is branch of the ancient Indian medical science based on herbs and herbo-mineral preparation. Tankana has been described under Uparasa Tankana, which is one among the Kshara Trayas has been used since very long time in Ayurveda. It has a wide range of therapeutic applications, including diseases like Varna (ulcers), Shvasa (asthma), Kasa (cough), Hrudya (beneficial to heart disease), Streepushpajanana (menstrual disorders) etc. It is used in the form of compound formulations like Parpati, Kupipakwa, Khalvee Rasayana, Churna, Vati, Lepa etc. In this paper Tankana Shodhana procedure, different synonyms, dose, Anupana, indications and different formulations containing Tankana Bhasma has been discussed.


2020 ◽  
Vol 5 (1) ◽  
pp. 404-440 ◽  
Author(s):  
Mehrdad Alizadeh ◽  
Yalda Vasebi ◽  
Naser Safaie

AbstractThe purpose of this article was to give a comprehensive review of the published research works on biological control of different fungal, bacterial, and nematode plant diseases in Iran from 1992 to 2018. Plant pathogens cause economical loss in many agricultural products in Iran. In an attempt to prevent these serious losses, chemical control measures have usually been applied to reduce diseases in farms, gardens, and greenhouses. In recent decades, using the biological control against plant diseases has been considered as a beneficial and alternative method to chemical control due to its potential in integrated plant disease management as well as the increasing yield in an eco-friendly manner. Based on the reported studies, various species of Trichoderma, Pseudomonas, and Bacillus were the most common biocontrol agents with the ability to control the wide range of plant pathogens in Iran from lab to the greenhouse and field conditions.


2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Martin Pullinger ◽  
Jonathan Kilgour ◽  
Nigel Goddard ◽  
Niklas Berliner ◽  
Lynda Webb ◽  
...  

AbstractThe IDEAL household energy dataset described here comprises electricity, gas and contextual data from 255 UK homes over a 23-month period ending in June 2018, with a mean participation duration of 286 days. Sensors gathered 1-second electricity data, pulse-level gas data, 12-second temperature, humidity and light data for each room, and 12-second temperature data from boiler pipes for central heating and hot water. 39 homes also included plug-level monitoring of selected electrical appliances, real-power measurement of mains electricity and key sub-circuits, and more detailed temperature monitoring of gas- and heat-using equipment, including radiators and taps. Survey data included occupant demographics, values, attitudes and self-reported energy awareness, household income, energy tariffs, and building, room and appliance characteristics. Linked secondary data comprises weather and level of urbanisation. The data is provided in comma-separated format with a custom-built API to facilitate usage, and has been cleaned and documented. The data has a wide range of applications, including investigating energy demand patterns and drivers, modelling building performance, and undertaking Non-Intrusive Load Monitoring research.


Polymers ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 1396
Author(s):  
Z. N. Diyana ◽  
R. Jumaidin ◽  
Mohd Zulkefli Selamat ◽  
Ihwan Ghazali ◽  
Norliza Julmohammad ◽  
...  

Thermoplastic starch composites have attracted significant attention due to the rise of environmental pollutions induced by the use of synthetic petroleum-based polymer materials. The degradation of traditional plastics requires an unusually long time, which may lead to high cost and secondary pollution. To solve these difficulties, more petroleum-based plastics should be substituted with sustainable bio-based plastics. Renewable and natural materials that are abundant in nature are potential candidates for a wide range of polymers, which can be used to replace their synthetic counterparts. This paper focuses on some aspects of biopolymers and their classes, providing a description of starch as a main component of biopolymers, composites, and potential applications of thermoplastics starch-based in packaging application. Currently, biopolymer composites blended with other components have exhibited several enhanced qualities. The same behavior is also observed when natural fibre is incorporated with biopolymers. However, it should be noted that the degree of compatibility between starch and other biopolymers extensively varies depending on the specific biopolymer. Although their efficacy is yet to reach the level of their fossil fuel counterparts, biopolymers have made a distinguishing mark, which will continue to inspire the creation of novel substances for many years to come.


Author(s):  
S. Vasanth ◽  
T. Muthuramalingam

There is a quite wide range of animal leathers such as cow leather, sheep leather and buffalo leather used for leather garments and leather goods such as bags, wallets and other customized leather articles. The drawbacks of manual cutting can be eliminated by laser-based cutting. However, unwanted carbonization is happened owing to the higher thermal influence. There is no standard procedure or method available to measure the carbonization region on leather cutting. Diode lasers can process leather rapidly and efficiently. In the present work, an attempt was proposed to introduce the image processing-based measurement approach in leather cutting using CO2 laser and diode laser. The cutting experiments were performed on sheep leather with a thickness of 1 mm. It was found that the proposed can effectively measure the heat-affected zone (HAZ) of leather cutting. It has also been found that diode laser could produce lower HAZ than CO2 laser on leather cutting.


2018 ◽  
Vol 7 (4) ◽  
pp. 357-376 ◽  
Author(s):  
Giri Aryal ◽  
John Mann ◽  
Scott Loveridge ◽  
Satish Joshi

Purpose The innovation creation literature primarily focuses on urban firms/regions or relies heavily on these data; less studied are rural firms and areas in this regard. The purpose of this paper is to employ a new firm-level data set, national in scale, and analyze characteristics that potentially influence innovation creation across rural and urban firms. Design/methodology/approach The authors use the 2014 National Survey of Business Competitiveness (NSBC) covering multiple firm-level variables related to innovation creation combined with secondary data reflecting the regional business and innovative environments where these firms operate. The number of patent applications filed by these firms measures their innovation creation, and the paper employs a negative binomial regression estimation for analysis. Findings After controlling for industry, county and state factors, rural and urban firms differ in their innovation creation characteristics and behaviors, suggesting that urban firms capitalize on their resources better than rural firms. Other major findings of the paper provide evidence that: first, for rural firms, the influence of university R&D is relevant to innovation creation, but their perception of university-provided information is not significant; and second, rural firms that are willing to try, but fail, in terms of innovation creation have a slight advantage over other rural firms less willing to take on the risk. Originality/value This paper is one of the first to analyze the 2014 NSBC, a firm-level national survey covering a wide range of innovation-related variables. The authors combine it with other regional secondary data, and use appropriate analytical modeling to provide empirical evidence of influencing factors on innovation creation across rural and urban firms.


Author(s):  
Shuaibu Babaji Sanusi ◽  
Mohd Fadzelly Abu Bakar ◽  
Maryati Mohamed ◽  
Siti Fatimah Sabran ◽  
Muhammad Murtala Mainasara

The genus Nepenthes (Nepenthaceae) has been utilized in folk medicine for a long time in India and Southeast Asia countries. They are used in the treatment of leprosy, cholera, night blindness, gastrointestinal discomfort, dysentery, stomachache, and bed-wetting among others. This review highlights the ethnobotanical uses, phytochemicals, and pharmacological activities of both crude extracts and pure bioactive compounds of Nepenthes spp. The phytochemical compounds isolated from Nepenthes species include flavonoids, terpenoids, tannins, alkaloids, and steroids among other phytochemicals. A wide range of pharmacological activities was exhibited by the crude extracts and pure bioactive components such as antibacterial, antifungal, antimalarial antioxidant, antidiabetic, antiosteoporotic, anti-inflammatory, cytotoxicity, and hypolipidemic activities. This review revealed that many active compounds are present in Nepenthes spp. However, many pharmacological screenings such as anticancer, antiviral, wound healing, antihelminthic, antidiarrheal properties, among others have not been carried out yet. Therefore, more biological investigations and phytochemical screenings are required to fully explore the genus Nepenthes which may lead to development of new therapeutic agents.  


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