COMPANY:

major auto parts manufacturer

A student studying object detection technology in the information system at a private high school in Malaysia. His graduation research is the construction of a juggling pattern recognition system using machine learning. As an intern as an AI engineer, he was responsible for implementing deep learning techniques in computer vision tasks. The impression is that he has a bright personality and works positively on everything.

Profile

COUNTRY / REGION
Malaysia
SEX
Male
UNIVERSITY
Multimedia University
SPECIALIZATION
Computer Science
ACADEMIC LEVEL
Bachelor

MESSAGE

During my university time, I came across a free Japanese lesson provided by the university. After the lesson, I found myself deeply interested in learning Japanese so that was the time I started my Japanese learning journey. I enrolled in a Japanese language course to further develop my Japanese skill and hoping to work and stay in Japan in the future! After my 4 years of study at university, I started my job hunting process. It was a hard time for the job hunting process mainly due to the Covid-19 pandemic where I spent most of my time applying for jobs online and get declined in the end.

Fortunately, I came across the study go work japan program at FAST OFFER International and decided to give it a try for the opportunity. I started by applying to the program and preparing the required document. Once I passed the screening process, I have gone through my first interview with the FAST OFFER International staff. During the interview, the staff was very friendly and easy to talk with even though I was not good enough to talk fluently in Japanese. The interview aims to check my Japanese speaking skill, my research topic and content (Final-Year-Project), and so forth. After I passed the interview, I have to prepare a PR video that will be sent and viewed by companies. Fortunately, I got selected by the company where I can proceed to the next round, interview!

Preparation for interviews is relatively important. Luckily, I was provided with some sample questions from FAST OFFER International which will most likely to be asked in the interview. This helps me to boost my confidence and get enough time to make research about the company hence being able to communicate and convey my opinion correctly. Furthermore, there will be a chance where companies required you to finish some sort of test (technical or aptitude) beforehand. FAST OFFER International also provided a free mentor session where it offers rehearsal and assistance to help me to achieve good results in the interview! During the mentor session, I got my chance to discuss the interview questions/answers with a mentor and he also provided very useful information to aid in the Japanese interview process. I was lucky enough to pass the interview and get an employment offer from a major auto parts manufacturing company. After a comprehend job offer meeting where it explains my working content and information, I decided to accept the offer and will start working from April 2023.

I am still studying Japanese currently and decided to go for JLPT N1 as well as improve my Japanese speaking skill. I really appreciate the effort and chance from FAST OFFER International which helps me to land my first job in Japan! I am really looking forward to starting my life in Japan by myself. Lastly, thank you to everyone in FAST OFFER International for such an opportunity!

FINAL YEAR PROJECT

卒業論文:ジャグリングパターン認識システム

1.目的
人工知能という技術はまた多くの人に取り違えられてます。それでは、論文を通じて、より多くの人に、人工知能技術をより詳しく簡単に理解したり、受け入れたりすることになります。このプロジェクトの目的は、人工知能のシステムを開発、そしましたら人間のスポーツに人工知能技術を活用することであり、また人間のスポーツパフォーマンスを評価するためのアシスタントとして機能します。そしましたら、パフォーマンスを向上することを支援もできますのです。この関連プロジェクトは既存ですが、異なる手法で開発されており。

2.過程
まず、プランニングをすることから始めます。この段階では、有用な洞察や情報を得るために、技術的研究論文を検索しました。そして、何を達成するのか、プロジェクトのゴールを明確にするために、リサーチ後に明確な目的を定義します。さらに、監督者と連絡を取り合い、話し合いの予定を立て、プロジェクトが正しい道筋を進んでることを確認します。その上、使用するツールや開発サイクルなど、必要な事柄とスケジュールも定義します。すべてがうまく計画されると、システムの実装を始めます。最後に、プロジェクトが完了する前に、システムが正常に機能することを確認するために、適切なテストが行われます。

3.結果

結果のその1
いくつかの結果が表現されています。まずは物体検出の件です。物体検出技術を使ってボールを検出できることです。赤い箱で囲まれたボールはトス状態を表現することです。その一方、緑箱で囲まれたボールは手元に掴んだという状態です。同時に、ボールのトスの高さも表示されてます。次で、人体姿勢推定技術を使って、青い箱で人の手を囲んでいます。そして、左右の肘の角度も計算することもできます。その情報により、ジャグリングパフォーマンスを評価できるし、そしてジャグリングスキルを上げることもできます。

結果のその2
人体姿勢推定技術によりラインで人体の関節を連接と表現することです。そのほかは、機械学習でジャグリングパターンを認識した上で、そのパターンの結果を示しています。

4.振り返り
この研究の中で、一番重要なことを学んだのはフレキシビリティ。システム開発の仕事では、不確実性に対処することが必然です。不確定要素に対処する必要があり、計画と異なるアイデアも出てくるので、新たな解決策を考えなければなりません。しかし、最終的にはファームな計画が必要です.それがあれば、正しい道を進んでいることを確認できます。たとえ何の事故が起きたとしても、プロジェクトがうまく進行を確認できるし、また対応方法もできるようになるのです。結論として、ファームな計画は、成功か失敗かを決める重要なポイントになります。

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