In recent years there is rapid improvement in Object detection in areas of video analysis and image processing applications. Determing a desired object became an important aspect, so that there are many numerous of methods are evolved in Object detection. In this regard as there is rapid development in Deep Learning for its high-level processing, extracting deeper features, reliable and flexible compared to conventional techniques. In this article, the author proposes Object detection with deep neural networks and faster region convolutional neural networks methods for providing a simple algorithm which provides better accuracy and mean average precision.

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WhatsApp has been extensively used by many English as a Foreign Language (EFL) teachers in Indonesia as a near synchronous online learning platform. This program enables users to make announcements, exchange ideas and learning materials, and participate in online debates. Some recent publications inform its utilization in learning language, yet little discusses how students engage in the learning activities. Therefore, to fill this void, the present study aims to investigate the students' behavioral engagement during online learning using WhatsApp. To collect the data, this study employed observation and semi-structured interviews. An observation was completed in one class at a state university in Tasikmalaya, West Java, Indonesia to perceive how the students responded to the teacher's instructions during the learning process. Meanwhile, the interviews were conducted with nine students in a similar class. The data were analyzed using thematic analysis. The findings revealed that students engaged behaviourally by (1) posing questions or comments politely, (2) using emoticons and emojis as politeness reinforcements, and (3) confirming the unclear information behind the scene. Implications for teaching and further studies are discussed.

With the recent advances in video technology, there is an increasing need for a more reliable, efficient and robust generic framework for video processing and its analysis. In this regard the Motion estimation has for many years demanding area of research because of its diversity of use in real-time applications. Motion estimation using block matching algorithm is used in many applications in video processing. This paper presents a review of motion estimation based on block matching algorithm and also includes analytical study of fixed and variable block matching algorithms

This study was performed concerning the usage of a blog to ascertain the perceptions of the students regarding the usage of blogs in Extensive Reading (hereafter ER) classes at one of Tasikmalaya’s universities. Braun and Clarke’s Descriptive Case Study Design and Thematic Analysis techniques were used in this study. The primary data source was semi-structured interviews with four participants, transcribed and analysed using Thematic Analysis. This study discovered that blogging has advantages and disadvantages in the ER class. The advantage of using blogs as media in Extensive Reading classes is that blogging is easy to use and can increase student creativity. Furthermore, blogging can increase student motivation to read, serve as a forum for reflection, and increase learning autonomy. However, based on the findings, it turns out that there are some disadvantages to using blogs as media in Extensive Reading classes, such as limited access to blogs, sluggish connectivity for submitting assignments, and causing time-consuming problems. Finally, the research provides information to lecturers so that lecturers can learn about the benefits and drawbacks of using blogs in ER learning.