Publisher: Panyapiwat Institute of Management (Total: 2 journals)   [Sort by number of followers]

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Chinese J. of Social Science and Management     Open Access  
Intl. Scientific J. of Engineering and Technology (ISJET)     Open Access  
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International Scientific Journal of Engineering and Technology (ISJET)
Number of Followers: 0  

  This is an Open Access Journal Open Access journal
ISSN (Print) 2586-8527
Published by Panyapiwat Institute of Management Homepage  [2 journals]
  • Effects of Indole Butyric Acid (IBA) and Naphathalene Acetic Acid (NAA) on
           Rooting and Shooting of Jiaogulan (Gymnanthemum extensum) Cutting Stem

    • Authors: Thongphet Chittabupha, Chalinda Ariyadet, Adisak Joomwong, Parawee Kanjanaphachoat
      Pages: 1 - 5
      Abstract: Abstract—The effects of IBA and NAA on rooting and shooting of the Bitter leaf tree (Gymnanthemum extensum) cutting stems were investigated. The stems were obtained from a private garden in Chiang Mai Province. The 25-cm long cutting stems were dipped into distilled water (control), IBA, and NAA with 250, 500, 1000, 2000, and 3000 ppm concentrations for 30 minutes and put in plastic cups in the plant nursery (Program of Biotechnology, Faculty of Science, Maejo University, Chiang Mai) from April to May of 2019. The experiment was performed in a completely randomized design (CRD). The data was collected 30 days after treatments. The result showed that the cutting stem treated with 0ppm (control), 250 ppm of IBA, and 500ppm of IBA gave rise to the highest percentage of rooting (100%). In contrast, the cutting stems treated with IBA at 1,000 and 2,000 ppm concentrations yielded 80% of rooting. NAA at 250, 500, 1,000, and 2,000ppm concentrations gave rise to 73, 73, 73, and 66.7% rooting, respectively. On the other hand, 3000 ppm of NAA provided the lowest percentage of rooting at 53.3%, respectively. Two hundred and fifty ppm of NAA gave the highest average number of roots per cutting compared to the other treatments. The average root length and average root width of control and all treatments were not significantly different (P<0.5). The control, IBA, and NAA at 250, 500, 1,000, and 2,000 ppm concentrations gave the highest percentage of shooting (93 - 100%).  
      PubDate: 2021-06-25
      Issue No: Vol. 5, No. 1 (2021)
       
  • Effect of Plasma Treatments and Low Temperature to Some Physical and Some
           Physiology of Fresh Fig Fruit (Ficus carica L.) cv. Black Jack

    • Authors: Chairat Burana
      Pages: 6 - 10
      Abstract: Abstract—The aim of this research was to study the effect of plasma treatments and low
      temperature on some physical and some physiology of fresh fig fruit (Ficus carica L.) cv. Black Jack
      during postharvest cold storage. We investigated the effects of different time plasma treatments
      including 2, 5, and 10 hours compared with the control (untreated) fruit during storage at 4°C. The
      results are found that plasma treatments reduced the metabolism of fresh fig including weight loss,
      respiration, and ethylene production during storage. The decreasing of firmness was reduced
      by plasma treatment, especially 2 hours plasma treated. Moreover, plasma treatments remarkably
      inhibited fungal incidents which prolong the storage life of fresh figs under storage at 4°C.
      However, these treatments did not affect the color change in this fruit. These findings suggest that
      plasma treatment combined with storage at low temperature has commercial potential and useful
      to reduce postharvest decay, maintain the quality and prolong the storage life of fresh fig fruit cv.
      Black Jack. More studies should be accomplished on this technique for other fig cultivars and nutritional properties after treatments.
      PubDate: 2021-08-04
      Issue No: Vol. 5, No. 1 (2021)
       
  • Experiences of Using Opensource Transport and Traffic Simulation Software
           for Transport and Traffic Studies in Thailand

    • Authors: Natachai Wongchavalidkul, Somsiri Siewwuttanagul
      Pages: 11 - 19
      Abstract: Abstract—This article summarizes the experiences of using open-source transport and traffic simulation software for transport policy and planning works in Thailand. The first software is the TRANUS, which is the Land Use Transport Integration (LUTI) software. The other software is SUMO (Simulation of Urban Mobility), which is the traffic simulation software. The reviews are general software features, input data requirements, and potential outputs. The paper also discusses the example of project implementations, which uses TRANUS and SUMO for evaluating the impacts of the metro line services around the activity center area. Experiences show that, even though there is a learning curve for both software, it's free of costs, diverge user communities, and prompt software features, are representing that open-source transportation software platforms could be an alternative for future transport policy and planning work in Thailand.  
      PubDate: 2021-06-25
      Issue No: Vol. 5, No. 1 (2021)
       
  • Headline2Vec: A CNN-based Feature for Thai Clickbait Headlines
           Classification

    • Authors: Natsuda Kaothanthong, Sarawoot Kongyoung, Thanaruk Theeramunkong
      Pages: 20 - 31
      Abstract: Abstract—Clickbait is an article title or a social media post that attracts readers to follow a link to the article’s content. It is one of the major contributors to the spread of fake news. To prevent a wide spread of fake news, it should be detected as soon as possible. This paper presents a content-based feature called headline2vec that is extracted from a concatenation layer of a convolutional neural network (CNN) on the well-known word2vec model for high dimensional word embeddings, to improve an automatic detection of Thai clickbait headlines. A pioneer dataset for Thai clickbait headlines is collected using a top-down strategy. In the experiment, we evaluate the headline2vec feature for Thai clickbait news detection using 132,948 Thai headlines where the CNN features are constructed using a non-static modeling technique with 50 dimensions of word2vec embedding with a window size of two, three, and four with the epoch of 5. Using the proposed features, we compare three classifiers, naïve Bayes, support vector machine, and multilayer perceptron. The result shows that the headline2vec with multilayer perceptron achieves up to 93.89% accuracy and it outperforms the sequential features that utilize n-gram with tf-idf.
      PubDate: 2021-06-25
      Issue No: Vol. 5, No. 1 (2021)
       
  • Increasing Performance through Information Retrieval System for Design and
           Build Company

    • Authors: Phannachet Na Lamphun, Panot Khogkhaluang , Adisorn Kheaksong
      Pages: 32 - 40
      Abstract: Abstract—Developing a progress report is a requirement in many types of business, including design and build the business.  This is because the purpose is to provide information on the progress of the project and other necessary information, such as problems, solutions, etc., for the project owner to be aware of the status of the project. The progress report is also linked to the payment of the project budget based on the progress.  However, the report preparation of project might require various information from more than one parties; thus, the process would certainly be time- consuming.  Moreover, the process might be redundant and prone to error when information is extracted from one source and incorporated in other.  The Objective of this research were to analyzed, design and develop the automatic document report system for Design and Build Business and to evaluate the performance of the system.  In the design of this prototype system, information is automatically extracted from submitted reports prepared by various working parties and, finally, generated the progress report for the contractor to submit to project owner in an effective and efficient way.  The prototype system could help reduce the process time and work load on the staff, while ensuring the correctness of the information and document.    
      PubDate: 2021-06-25
      Issue No: Vol. 5, No. 1 (2021)
       
  • Let-It-Cold Design Concept for Supporting Temperature-Sensitive Products

    • Authors: Suchada Rianmora, Gnean Nak Da, Maroay Phlernjai
      Pages: 41 - 57
      Abstract: Abstract—Various factors cause fruits and vegetables spoilage. Sufficient ventilation, heat, light, humidity or temperature may affect both safety and quality of those fruits and vegetables. To prevent the situation that the fruits and vegetables are unsuitable for consumption or they decay or go bad quickly, keeping sensitive items in proper temperature-controlled storage system is recommended. Let-It-Cold design concept has been introduced in this study where the space and layout between containers used for keeping fruits and vegetables fresh and crisp are the key considerations. For small-sized cold room, arranging containers/crates properly to keep produce fresh much longer than other traditional ways will be reported and analyzed. Three layout designs for positioning and stacking a crate containing 25-kg tomatoes are considered and compared.  Ergonomic design for people at work; depalletizing operation was applied in this study as the guideline to design the proper height of the stacked crate in column. For each storage shape, computer fluid dynamics (CFD) has been applied as the tool for cold room analysis. Then, a newly proposed performance index is used to compare and choose the optimum design layout from the simulation result.
      PubDate: 2021-06-26
      Issue No: Vol. 5, No. 1 (2021)
       
 
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