Based on the emergence of the Internet of Things, smart logistic units (container, pallet, cardboard) offers a new opportunity to improve the responsiveness to disturbances of the supply chain and to develop robust scheduling approach based on the knowledge extracted from the historical data of traceability on the smart logistic units. The limitations of the current traceability solutions are related in particular to the insufficient level of detail, the late availability of data and the scattering of data in databases of different actors in the supply chain who are reluctant to exchange them. Then, the unitary traceability based on the Internet of Things with a real-time tracking of multiple parameters of each object (position, temperature, vibration, humidity, etc.) is a solution which makes it possible to improve reactivity in real time when facing disturbances and to extract knowledge from historical data. Therefore, this paper proposes a conceptual framework based on seven activities that exploit smart container traceability data for real-time analysis and decision to monitor risks of disruptions and to mitigate the impact of disruptions.

A modern chemical sensor system (M-CSS) was developed for the cost-effective chemical analysis of Thai precision and sustainable agriculture (TPSA), which is suitable in rural Thailand and elsewhere. The aim of this study was to achieve precision and sustainable agriculture (P-SA). The M-CSS functions according to the International Union of Pure and Applied Chemistry (IUPAC) definition and incorporates information and communication technologies (ICTs). The developed chemical sensor in the M-CSS is based on a colorimetric determination by a smart device/smartphone. Additionally, the preparation of soil samples was investigated. Soil samples of optimal conditions were extracted using an acid extractant in the ratio of one to two (extract to soil sample). Then, phosphate-phosphorous and potassium were detected with the M-CSS, which showed an excellent correlation with the standard reference methods. Interestingly, it is noteworthy that the at-site analysis of the developed method could detect a greater nitrate-nitrogen content than that of the standard reference method. The developed cost-effective analysis for the plant macronutrient content in the soil, including nitrate-nitrogen, phosphate-phosphorous, and potassium, was demonstrated for organic vegetable farms at the real P-SA research site in Northern Thailand. The obtained results can guide the management of the application of fertilizers. The proposed M-CSS exhibited the potential to be used for at-site soil macronutrient analysis and represents the starting point of Thai precision and sustainable agriculture (TPSA).

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The success of stroke rehabilitation therapy is highly associated with patient cooperation. However, the repetitive nature of conventional therapies can frustrate patients and decrease their discipline in working out the physical therapy program. Serious games have shown promising outcomes when applied to tasks that require human engagement. This research focuses on sharing experiences and lessons learned from designing serious games using VR technology in cooperation with medical experts including rehab physicians, occupational therapists and physiotherapists to identify requirements and to evaluate the game before applying with stroke patients. The game has the objective to create an immersive environment that encourages the patient to exercise for recovery from stroke-induced disabilities. It is delicately designed to fit the stroke sufferers in Thailand, meanwhile, to integrate proper clinical physio therapeutic patterns based on the conventional therapy. Game design challenges for stroke patients and our solutions applied in the games were described. Our results of the preliminary field test revealed positive feedback on enjoyment and game features from physicians and physiotherapists. Finally, technical issues and suggestions for improvement were collected to adjust the game for the clinical trial with stroke patients in the next phase.

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