scholarly journals A Methodology for Evaluation and Distribution of Patent Applications to INPI-BR Patent Examiners: A Case Study in the Electricity Field

2021 ◽  
Author(s):  
Cesar Vianna Moreira Júnior ◽  
Daniel Marques Golodne ◽  
Ricardo Carvalho Rodrigues
Keyword(s):  
Principal Component ◽  
Patent Classification ◽  
Technological Field ◽  
International Patent ◽  
Relevant Variables ◽  
Pca Method ◽  
Patent Applications ◽  
Examination Process

This paper presents the development of a new methodology for evaluation and distribution of patent applications to the examiners at the Brazilian Patent Office considering a specific technological field, represented by classification of the application according to the International Patent Classification (IPC), and the variables corresponding to the volume of data of the application and its complexity for the examination process. After identifying the most relevant variables, such as the Specific Areas of Expertise (ZAE) of the examiners, a mathematical model was developed, including: (a) application of the principal component analysis (PCA) method; (b) calculation of a General Complexity Ratio (IGC); (c) classification into five classes (very light, light, moderate, heavy and very heavy) according to IGC average ranges and standard deviations; (d) implementation of a logic of distribution, compensating very heavy applications with very light ones, and light applications with heavy ones; and (e) calculation of a Distribution Balancing Ratio (IBD), considering the differences between the samples’ medians. The model was validated using a sample of patent applications including, in addition to the identified variables, the time for substantive examination by the examiner. Then, a correlation analysis of the variables with time and a comparison of the classifications according to the time and the IGC generated by the model were carried out. The results obtained showed a high correlation of the IGC with time, above 80%, as well as correct IGC classes in more than 80% of applications. The model proposed herein suggests that the three main relevant variables are: total number of pages, total number of claims, and total number of claim pages.

scholarly journals Technological prospection: the genus Mikania in therapeutic use

2021 ◽  
Vol 10 (14) ◽  
pp. e333101422076
Author(s):  
Nathália Andrezza Carvalho de Souza ◽  
Victória Laysna dos Anjos Santos ◽  
Tarcísio Cícero de Lima Araújo ◽  
Pedrita Alves Sampaio ◽  
Renata Rivelli Menezes de Souza ◽  
...  
Keyword(s):  
Biological Activities ◽  
The United States ◽  
World Intellectual Property Organization ◽  
European Patent ◽  
Industrial Property ◽  
Patent Classification ◽  
Innovation Research ◽  
Technological Potential ◽  
International Patent

The genus Mikania (Asteraceae) comprises about 450 species of these, 203 are found in Brazil and present several chemical and biological activities. Considering the variety of species and their therapeutic properties, the present study aimed to perform technological prospecting of this genus, since this approach aims to contribute to technological, scientific and innovation research. For this purpose, the patent documents were analyzed, regarding the applicant countries, year of filing and the international classification of patents of the genus Mikania. The search was conducted in the databases World Intellectual Property Organization (WIPO), European Patent Office (EPO) and the National Institute of Industrial Property (INPI) in October 2020, using the descriptor “Mikania”; present in the title and/or abstract in addition, documents that included medicinal approaches were selected. Thus, taking into consideration the filing countries, Japan, Brazil and the United States led the patent deposits, with the first document filed in 1991 and the largest number of applications in the years 2000 and 2010. The data concerning the international patent classification are concentrated in subclass A61K, which deals with preparations for medical, dental or hygienic purposes. These results demonstrated the therapeutic and technological potential of the Mikania species and thus which can be evidenced the potential of this study.

scholarly journals Deteksi Formalin Pada Buah Tomat (Lycopersicum esculentum Mill) Dengan Teknologi Hidung Elektronik (Electronic Nose)

2019 ◽  
Vol 4 (2) ◽  
pp. 359-366
Author(s):  
Irfan Maibriadi ◽  
Ratna Ratna ◽  
Agus Arip Munawar
Keyword(s):  
Principal Component Analysis ◽  
Electronic Nose ◽  
Principal Component ◽  
Component Analysis ◽  
Lycopersicum Esculentum ◽  
Olfactory Ability ◽  
Pca Method ◽  
The Difference ◽  
Electronic Nose Technology

Abstrak,  Tujuan dari penelitian ini adalah mendeteksi kandungan dan kadar formalin pada buah tomat dengan menggunakan instrument berbasis teknologi Electronic nose. Penelitian ini menggunakan buah tomat yang telah direndam dengan formalin dengan kadar 0.5%, 1%, 2%, 3%, 4%, dan buah tomat tanpa perendaman dengan formalin (0%). Jumlah sampel yang digunakan pada penelitian ini adalah sebanyak 18 sampel. Pengukuran spektrum beras menggunakan sensor Piezoelectric Tranducer. Klasifikasi data spektrum buah tomat menggunakan metode Principal Component Analysis (PCA) dengan pretreatment nya adalah Gap Reduction. Hasil penelitian ini diperoleh yaitu: Hidung elektronik mulai merespon aroma formalin pada buah tomat pada detik ke-8.14, dan dapat mengklasifikasikan kandungan dan kadar formalin pada buah tomat pada detik ke 25.77. Hidung elektronik yang dikombinasikan dengan metode principal component analysis (PCA) telah berhasil mendeteksikandungan dan kadar formalin pada buah tomat dengan tingkat keberhasilan sebesar 99% (PC-1 sebesar 93% dan PC-2 sebesar 6%). Perbedaan kadar formalin menjadi faktor utama yang menyebabkan Elektronik nose mampu membedakan sampel buah tomat yang diuji, karena semakin tinggi kadar formalin pada buah tomat maka aroma khas dari buah tomat pun semakin menghilang, sehingga Electronic nose yang berbasis kemampuan penciuman dapat membedakannya.Detect Formaldehyde on Tomato (Lycopersicum esculentum Mill) With Electronic Nose TechnologyAbstract, The purpose of this study is to detect the contents and levels of formalin in tomatoes by using instruments based on Electronic nose technology. This study used tomatoes that have been soaked in formalin with a concentration of 0.5%, 1%, 2%, 3%, 4%, 5% and tomatoes without soaking with formalin (0%). The samples in this study were 18 samples. The measurements of the intensity on tomatoes aroma were using Piezoelectric Transducer sensors. The classification of tomato spectrum data was using the Principal Component Analysis (PCA) method with Gap Reduction pretreatment. The results of this study were obtained: the Electronic nose began to respond the smell of formalin on tomatoes at 8.14 seconds, and it could classify the content and formalin levels in tomatoes at 25.77 seconds. Electronic nose combined with the principal component analysis (PCA) method have successfully detected the content and levels of formalin in tomatoes with a success rate at 99% (PC-1 of 93% and PC-2 of 6%). The difference of grade formalin levels is the main factor that causes Electronic nose to be able to distinguish the tomato samples tested, because the higher of formalin content in tomatoes, the distinctive of tomatoes aroma is increasingly disappearing. Thereby, the Electronic nose based on  the olfactory ability can distinguish them. 

scholarly journals Tree crown size as a measure of tree biosocial position in 135-year-old oak (Quercus L.) stand

2016 ◽  
Vol 58 (1) ◽  
pp. 31-42 ◽  
Author(s):  
Katarzyna Kaźmierczak ◽  
Bogna Zawieja
Keyword(s):  
Principal Component ◽  
Tree Height ◽  
Projection Area ◽  
Tree Crown ◽  
Diameter At Breast Height ◽  
Breast Height ◽  
Crown Length ◽  
Pca Method ◽  
Crown Projection Area

AbstractThe paper presents an attempt to apply measurable traits of a tree – crown projection area, crown length, diameter at breast height and tree height for classification of 135-year-old oak (QuercusL.) trees into Kraft classes. Statistical multivariate analysis was applied to reach the aim. Empirical material was collected on sample plot area of 0.75 ha, located in 135-year-old oak stand. Analysis of dimensional traits of oaks from 135-year-old stand allows quite certain classification of trees into three groups: pre-dominant, dominant and co-dominant and dominated ones. This seems to be quite promising, providing a tool for the approximation of the biosocial position of tree with no need for assessment in forest. Applied analyses do not allow distinguishing trees belonging to II and III Kraft classes. Unless the eye-estimation-based classification is completed, principal component analysis (PCA) method provided simple, provisional solution for grouping trees from 135-year-old stand into three over-mentioned groups. Discriminant analysis gives more precise results compared with PCA. In the analysed stand, the most important traits for the evaluation of biosocial position were diameter at breast height, crown projection area and height.

Patents as a Competitive Advantage? Analysis of the German Watch Manufacturer Junghans

2021 ◽  
pp. 2150008
Author(s):  
Katharina Stolz
Keyword(s):  
Competitive Advantage ◽  
Research Design ◽  
High Technology ◽  
Business Success ◽  
International Patent Classification ◽  
Luxury Goods ◽  
Patent Classification ◽  
International Patent ◽  
Patent Applications ◽  
Luxury Industry

This paper investigates the relevance of patents as a competitive advantage with regard to the luxury industry. Within the framework of an explorative research design, more than two thousand patents were analyzed, using the international patent classification (IPC) to cluster those patents. The analysis shows that the sole ownership of patents as a resource is not sufficient to achieve business success. In addition, the findings suggest a two-sided relevance of patents within the luxury goods industry as two main groups can be identified: First, traditional manufacturers focusing more on craftmanship, secrecy, and tradition than on novelties and patents. Second, large business groups and high technology businesses dominating the IPC group G04 and emphasizing on the latest technology as well as on patents. Furthermore, the internationalization is also reflected in the patent applications: European patents within category G04 have gained in importance over the last 20 years, while national patents have declined.

Analysis of International Patent Applications for Inventions Like Traditional Herbal Medicines

2022 ◽  
pp. 532-542
Author(s):  
Pankaj Kumar ◽  
Ameeta Sharma
Keyword(s):  
Herbal Medicines ◽  
Patent Office ◽  
International Patent Classification ◽  
Patent Cooperation Treaty ◽  
Patent Classification ◽  
Patent Search ◽  
Classification Code ◽  
International Patent ◽  
Search Tool ◽  
Patent Applications

Numerous applications have been filed for patents based on bio-inventions in the Indian patent office. Although there is not any international patent, there is a system of international patent applications whereby the applicant may designate name of countries where they wish to file application for patents nationally. According to international patent classification, the concern class for such a patent applications is A61K36/00. More particularly, the international class (IC) A61K36/00 relates to medicinal preparations of undetermined constitution containing material from algae, lichens, fungi or plants, or derivatives thereof (e.g., traditional herbal medicines). International applications filings under patent cooperation treaty (PCT) for patent purposes can be accessed at the Patentscope (patent search tool of WIPO). All international patent applications for such TK-based inventions have been accessed online at Patentscope using the classification code A61K36 for this study.

scholarly journals Vibration-Based Structural Health Monitoring Using Piezoelectric Transducers and Parametric t-SNE

Sensors ◽  
2020 ◽  
Vol 20 (6) ◽  
pp. 1716
Author(s):  
David Agis ◽  
Francesc Pozo
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Structural Changes ◽  
Computational Cost ◽  
Principal Component ◽  
Piezoelectric Transducers ◽  
Majority Voting ◽  
Structural Health

In this paper, we evaluate the performance of the so-called parametric t-distributed stochastic neighbor embedding (P-t-SNE), comparing it to the performance of the t-SNE, the non-parametric version. The methodology used in this study is introduced for the detection and classification of structural changes in the field of structural health monitoring. This method is based on the combination of principal component analysis (PCA) and P-t-SNE, and it is applied to an experimental case study of an aluminum plate with four piezoelectric transducers. The basic steps of the detection and classification process are: (i) the raw data are scaled using mean-centered group scaling and then PCA is applied to reduce its dimensionality; (ii) P-t-SNE is applied to represent the scaled and reduced data as 2-dimensional points, defining a cluster for each structural state; and (iii) the current structure to be diagnosed is associated with a cluster employing two strategies: (a) majority voting; and (b) the sum of the inverse distances. The results in the frequency domain manifest the strong performance of P-t-SNE, which is comparable to the performance of t-SNE but outperforms t-SNE in terms of computational cost and runtime. When the method is based on P-t-SNE, the overall accuracy fluctuates between 99.5% and 99.75%.

scholarly journals A Survival Analysis on Fuel Cell Technology Patent Maintenance and Values Exploration between 1976 and 2001

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Seng-Su Tsang ◽  
Feng-Chen Chang ◽  
Wen-Cheng Wang
Keyword(s):  
Fuel Cell ◽  
Technology Development ◽  
Organizational Resources ◽  
Online Searching ◽  
Patent Classification ◽  
Market Values ◽  
Complementary Resources ◽  
International Patent ◽  
Book Values

Fuel cell R&D activities desirably arrive in patents; the costly maintenance fee challenges managers as well as researchers to whether or not renew existing patents. The key is, will the fuel cell patent’s value be worth renewing? Thus assessment of patent value is essential. Our study focus online searching was made available after 1976, as the initial year to conduct the patent search. Up to 2001, there are 2269 patents classified in the H01M 008/00~H01M 008/24 category, which is the category concerning fuel cell under the classification of the International Patent Classification. Effective exploitation of technology values is subject to the complementarities of organizational resources. The present study used the emerging technology of Fuel Cells as an example to show that firms may commercialize the values of technology according to their organizational resources. By aligning firms’ patenting strategies and the imparities between book values and market values this study concludes a technological ambidexterity with respect to firms’ technology development. The exploitative firms tend to file patents to defend their leadership in the product market as a result their technology is constrained within a firm’s boundaries. The results show that patent renewing decisions are consequence of firm’s constraints of complementary resources.

scholarly journals Coclassificação em artigos e patentes em biodiesel │Co-classification in papers and patents in biodiesel

2013 ◽  
Vol 9 (1) ◽  
Author(s):  
João De Melo Maricato ◽  
Daisy Pires Noronha
Keyword(s):  
Science And Technology ◽  
International Patent Classification ◽  
Public And Private ◽  
Patent Classification ◽  
International Patent ◽  
Different Types

Resumo As relações e interações entre a Ciência e a Tecnologia têm sido estudadas sob múltiplos enfoques e perspectivas, destacando-se os métodos bibliométricos e cientométricos. Nesta pesquisa foi  abordada  análise correlacional das classificações (coclassificação) de artigos e patentes em diferentes tipos de organizações (públicas e privadas), na área de biodiesel. Desenvolveu-se uma classificação para os artigos e utilizou-se a Classificação Internacional de Patentes, buscando-se identificar coocorrências entre elas. Com isso, foi possível verificar que a correlação dos assuntos das patentes e artigos, calculada a partir dos quantitativos, é positiva forte, enquanto a correlação dos assuntos identificados por países foi, positiva entre média e forte.Palavras-chave Coclassificação, Relações entre Ciência e Tecnologia, Bibliometria, Cientometria, Patentes e Artigos, Biodiesel. Abstract The relationships and interactions between science and technology have been studied in multiple approaches and perspectives, with emphasis on the scientometric and bibliometric methods. This research investigates the correlations between classifications (co-classification) of articles and patents in different types of organizations (public and private) in the field of biodiesel. It develops a classification of the articles and uses the International Patent Classification for identifying co-occurrences among them. With this, we found that the correlation of the subjects of patents and articles, calculated from their quantities, is strongly positive, while the correlation of the issues identified by countries was positive between medium and high.Keywords Co-classification, Relationships between Science and Technology, Bibliometrics, Scientometrics, Patents and Papers, Biodiesel.

scholarly journals Diagnosis of Esophagitis Based on Face Recognition Techniques

2010 ◽  
Vol 4 (1) ◽  
pp. 58-62
Author(s):  
Santosh S Saraf ◽  
Gururaj R Udupi ◽  
Santosh D Hajare
Keyword(s):  
Principal Component Analysis ◽  
Face Recognition ◽  
Principal Component ◽  
Component Analysis ◽  
Analysis Techniques ◽  
The Face ◽  
Pca Method ◽  
Recognition Efficiency ◽  
Motivating Factor

Face recognition technology has evolved over years with the Principal Component Analysis (PCA) method being the benchmark for recognition efficiency. The face recognition techniques take care of variation of illumination, pose and other features of the face in the image. We envisage an application of these face recognition techniques for classification of medical images. The motivating factor being, given a condition of an organ it is represented by some typical features. In this paper we report the use of the face recognition techniques to classify the type of Esophagitis, a condition of inflammation of the esophagus. The image of the esophagus is captured in the process of endoscopy. We test PCA, Fisher Face method and Independent Component Analysis techniques to classify the images of the esophagus. Esophagitis is classified into four categories. The results of classification for each method are reported and the results are compared.

scholarly journals A Rapid and Nondestructive Approach for the Classification of Different-Age Citri Reticulatae Pericarpium Using Portable Near Infrared Spectroscopy

Sensors ◽  
2020 ◽  
Vol 20 (6) ◽  
pp. 1586
Author(s):  
Pao Li ◽  
Xinxin Zhang ◽  
Shangke Li ◽  
Guorong Du ◽  
Liwen Jiang ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Principal Component ◽  
Nondestructive Method ◽  
Linear Discriminant ◽  
Outer Skin ◽  
Data Pretreatment ◽  
Pca Method

Citri Reticulatae Pericarpium (CRP), has been used in China for hundreds of years as a functional food and medicine. However, some short-age CRPs are disguised as long-age CRPs by unscrupulous businessmen in order to obtain higher profits. In this paper, a rapid and nondestructive method for the classification of different-age CRPs was established using portable near infrared spectroscopy (NIRS) in diffuse reflectance mode combination with appropriate chemometric methods. The spectra of outer skin and inner capsule of CRPs at different storage ages were obtained directly without destroying the samples. Principal component analysis (PCA) with single and combined spectral pretreatment methods was used for the classification of different-age CRPs. Furthermore, the data were pretreated with the PCA method, and Fisher linear discriminant analysis (FLD) with optimized pretreatment methods was discussed for improving the accuracy of classification. Data pretreatment methods can be used to eliminate the noise and background interference. The classification accuracy of inner capsule is better than that of outer skin data. Furthermore, the best results with 100% prediction accuracy can be obtained with FLD method, even without pretreatment.

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