scholarly journals PERANCANGAN BRAND VISUAL IDENTITY WISATA CERDAS KABUPATEN KERINCI

2021 ◽  
Vol 3 (01) ◽  
pp. 1-6
Author(s):  
Rizky Alfadly ◽  
Yosa Fiandra
Keyword(s):  
Visual Identity ◽  
Online Web

Sektor Pariwisata menjadi sangat penting untuk diperhatikan guna menunjang peningkatan kualitas hidup bagi daerah tujuanwisata. Kabupaten Kerinci dikenal sebagai surganya Pariwisata Provinsi Jambi, hampir 75% objek wisata di Provinsi Jambi berada diKabupaten Kerinci, hal ini sekaligus menjadikan Kabupaten Kerinci sebagai Branding Pariwisata Provinsi Jambi. Namun dengandemikian penetapan Kabupaten Kerinci sebagai branding Pariwisata Provinsi Jambi belum disertai dengan peningkatan kualitaspengelolaan pengembangan pariwisata. Terutama pada disiplin ilmu Brand Visual Identity yang dewasa ini tengah mengalamiperkembangan trend yang sangat pesat di berbagai wilayah di Indonesia maupun negara di dunia. Perancangan Brand Visual Identityini bertujuan untuk menaikkan popularitas pariwisata Kabupaten Kerinci agar lebih dikenal dan sekaligus menjadikan daya tarik bagipara wisatawan lokal, regional, nasional, maupun internasional. Perancangan ini menggunakan metode 4D (Define, Design, Develop,and Disseminate). Tahap pertama dengan mencari sebanyak mungkin definisi-definisi istilah yang akan digunakan dalam perancanganuntuk menambah wawasan perancang, lalu melakukan teknis perancangan, dengan menggunakan media manual dan digital, setelah itudikembangkan menjadi beberapa alternatif pilihan agar sesuai dengan apa yang dikehendaki target sasaran, dan yang terakhir tahappenyebar luasan atau publishing. Tahap ini bisa menggunakan media offline (media luar ruang) maupun media online (web, aplikasi,dan media sosial). Capaian dari perancangan ini supaya Kabupaten Kerinci relevan sebagai penyandang Branding Pariwisata ProvinsiJambi.

Speaker Identity Recognition by Acoustic and Visual Data Fusion through Personal Privacy for Smart Care and Service Applications

2020 ◽  
Vol 64 (4) ◽  
pp. 40404-1-40404-16
Author(s):  
I.-J. Ding ◽  
C.-M. Ruan
Keyword(s):  
Face Detection ◽  
Speaker Recognition ◽  
Visual Information ◽  
Classification Tree ◽  
Gaussian Mixture ◽  
Recognition Method ◽  
Indoor Space ◽  
Identity Recognition ◽  
Visual Identity ◽  
Speaker Classification

Abstract With rapid developments in techniques related to the internet of things, smart service applications such as voice-command-based speech recognition and smart care applications such as context-aware-based emotion recognition will gain much attention and potentially be a requirement in smart home or office environments. In such intelligence applications, identity recognition of the specific member in indoor spaces will be a crucial issue. In this study, a combined audio-visual identity recognition approach was developed. In this approach, visual information obtained from face detection was incorporated into acoustic Gaussian likelihood calculations for constructing speaker classification trees to significantly enhance the Gaussian mixture model (GMM)-based speaker recognition method. This study considered the privacy of the monitored person and reduced the degree of surveillance. Moreover, the popular Kinect sensor device containing a microphone array was adopted to obtain acoustic voice data from the person. The proposed audio-visual identity recognition approach deploys only two cameras in a specific indoor space for conveniently performing face detection and quickly determining the total number of people in the specific space. Such information pertaining to the number of people in the indoor space obtained using face detection was utilized to effectively regulate the accurate GMM speaker classification tree design. Two face-detection-regulated speaker classification tree schemes are presented for the GMM speaker recognition method in this study—the binary speaker classification tree (GMM-BT) and the non-binary speaker classification tree (GMM-NBT). The proposed GMM-BT and GMM-NBT methods achieve excellent identity recognition rates of 84.28% and 83%, respectively; both values are higher than the rate of the conventional GMM approach (80.5%). Moreover, as the extremely complex calculations of face recognition in general audio-visual speaker recognition tasks are not required, the proposed approach is rapid and efficient with only a slight increment of 0.051 s in the average recognition time.

Masses, Medicine and Race. The Biopolitics of Monstrosity in Third Reich Propaganda Films

2017 ◽  
Author(s):  
Jan Borowicz
Keyword(s):  
Mentally Ill ◽  
Third Reich ◽  
Body Politics ◽  
Visual Material ◽  
Mentally Ill Persons ◽  
Visual Identity ◽  
Short Films ◽  
Propaganda Films

The author examines body politics in Nazi cinema and propaganda movies (medical short films and materials filmed in the Polish Ghettos) in terms of constructing the visual identity of a nation in opposition to the allegedly non-normative bodies of Jews and mentally ill persons. The author connects the visual material with notions of biopolitics (Foucault, Agamben, Esposito).

TeachNet: A website created for teachers

2011 ◽  
Vol 35 (3) ◽  
pp. 21
Author(s):  
Christopher Glick
Keyword(s):  
English Teachers ◽  
Online Web

This paper explains TeachNet, a website for Rikkyo University English teachers. It covers the website’s goals and development from the start to my term of supervision. Problems and suggestions for such sites are provided along with a brief analysis of actual website usage, as measured with a commercial online web statistics firm. 本論では、立教大学の英語教員向け情報・教材データベースTeachNetについて概説する。このウェブサイトの目標や、開設以降の発展状況も示す。さらに、このようなサイトの問題点を指摘し、提案を行い、オンライン統計会社による利用者のデータ分析結果も提示する。

Speaker Adaptation for Lip-Reading Using Visual Identity Vectors

2019 ◽  
Author(s):  
Pujitha Appan Kandala ◽  
Abhinav Thanda ◽  
Dilip Kumar Margam ◽  
Rohith Chandrashekar Aralikatti ◽  
Tanay Sharma ◽  
...  
Keyword(s):  
Visual Identity ◽  
Lip Reading

Research on visual recognition intelligent system of city brand image based on fuzzy theory and regional culture

2021 ◽  
pp. 1-9
Author(s):  
Lin Han ◽  
Lu Han
Keyword(s):  
Neural Network ◽  
Visual Recognition ◽  
Intelligent System ◽  
Brand Image ◽  
Fuzzy Theory ◽  
Recognition System ◽  
Market Competitiveness ◽  
Visual Identity ◽  
Fuzzy Neural ◽  
Intelligent Recognition

With the rapid development of China’s market economy, brand image is becoming more and more important for an enterprise to enhance its market competitiveness and occupy a favorable market share. However, the brand image of many established companies gradually loses with the development of society and the improvement of people’s aesthetic pursuit. This has forced it to change its corporate brand image and regain the favor of the market. Based on this, this article combines the related knowledge and concepts of fuzzy theory, from the perspective of visual identity design, explores the development of corporate brand image visual identity intelligent system, and aims to design a set of visual identity system that is different from competitors in order to shape the enterprise. Distinctive brand image and improve its market competitiveness. This article first collected a large amount of information through the literature investigation method, and made a systematic and comprehensive introduction to fuzzy theory, visual recognition technology and related theoretical concepts of brand image, which laid a sufficient theoretical foundation for the later discussion of the application of fuzzy theory in the design of brand image visual recognition intelligent system; then the fuzzy theory algorithm is described in detail, a fuzzy neural network is proposed and applied to the design of the brand image visual recognition intelligent system, and the design experiment of the intelligent recognition system is carried out; finally, through the use of the specific case of KFC brand logo, the designed intelligent recognition system was tested, and it was found that the visual recognition intelligent system had an overall accuracy rate of 96.08% for the KFC brand logo. Among them, the accuracy rate of color recognition was the highest, 96.62%; comparing the changes in the output value of the training sample and the test sample, the output convergence effect of the color network is the best; through the comparison test of the BP neural network, the recognition effect of the fuzzy neural network is better.

scholarly journals B2B service brand identity and brand performance

2015 ◽  
Vol 49 (7/8) ◽  
pp. 1139-1162 ◽  
Author(s):  
Darren Andrew Coleman ◽  
Leslie de Chernatony ◽  
George Christodoulides
Keyword(s):  
Significant Influence ◽  
Structural Equation ◽  
Brand Management ◽  
Brand Identity ◽  
Equation Modeling ◽  
Brand Performance ◽  
Content Type ◽  
Visual Identity ◽  
Service Brand ◽  
The Uk

Purpose – This paper aims to apply the business-to-business (B2B) Service Brand Identity (SBI) scale to empirically assess the influence of service brand identity on brand performance for the first time. Design/methodology/approach – Based on data collected from 421 senior marketing executives, this paper applies the B2B SBI and structural equation modeling to fulfill the above purpose. Findings – Brand personality and human resource initiatives have a positive and significant influence on brand performance. Corporate visual identity, in addition to an employee and client focus, has an insignificant impact on performance. Consistent communications have a negative and significant influence on brand performance. Research limitations/implications – Data were only collected from executives in the UK. This research would benefit from replicative studies. Practical implications – This research empirically establishes the brand management activities that drive brand performance. Originality/value – This is the first empirical study to assess the influence service brand identity has on brand performance.

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