The use of Gage R&R in suitability analysis of a CMM used at FAMOT Pleszew

Site-specific forage management (SSFM), comprising growth observation, impact assessment, and timely strategic response to small variations in sericea lespedeza (SL; Lespedeza cuneata (Dum-Cours.) G. Don) production, has been envisioned as a life-changing approach for resource-poor (R-P) farmers in developing countries, assisting in the effective rearing of their small ruminants. The application of geospatial technologies, including geographic information systems (GIS), remote sensing, global navigation satellite system, and information technology, can support SSFM but has not been widely used for site-specific forage management. From our previous studies, it appears that the entire range of condensed tannins of lespedeza, namely extractable condensed tannin (ECT), fiber-bound condensed tannin (FBCT), and protein-bound condensed tannin (PBCT), as well as crude protein (CP), are excellent for promoting small ruminant digestion and overall health. The goal of this study was to develop an SSFM strategy for SL to enhance animal production in areas of drought-prone, low pH, marginally infertile soils. To achieve this goal, study objectives were to: (i) develop statistical and artificial neural networks-based (ANN) models to identify if a sound correlation exists among forage growth environmental features and SL-ECT content; (ii) determine suitability criteria, including climate, soil, and land use/land cover (LULC), for mass scale production of SL and collect supporting environmental geospatial data; and (iii) develop an automated geospatial model for SL growth suitability analysis in relation to optimal areas for its production in a case-study location. Telemetric data and individual climatologic parameters (including minimum, maximum, and average temperature, humidity, dewpoint, soil temperatures at three depths, soil moisture, evapotranspiration, total solar radiation, and precipitation) were found to correlate well (>75%) with the forage production parameters, including values of SL-ECT from the Fort Valley State University (FVSU) research station in Georgia in the southern United States. A backpropagation neural network (BPNN) model was developed using similar climatic input parameters, along with elevation (topography) and a normalized difference vegetation index (NDVI) to estimate the forage’s ECT with a testing root mean square error (RMSE) of 1.18%. With good correlation obtained between the climatic, soil, slope, and land cover input parameters, and SL-ECT as the output parameter, an SSFM model was developed with potential application to R-P farmers in areas suitable for SL establishment and growth. Eswatini (previously Swaziland), a landlocked country in southern Africa, in which numerous R-P small ruminant (sheep and goat) farmers reside, was used as the case study location to develop the SL production suitability model. Geospatial data were used for automated model development in an ArcGIS Pro ModelBuilder platform to provide information on where to grow SL efficiently to economically feed small ruminants. Land use/land cover, soil, topography, and climate based geospatial data of the region helped in the development of the automated SSFM geospatial model for spatial growth suitability location determination to assist farmers of Eswatini with their SL production decision making. This automated model can easily be replicated for farmers in other countries in Africa, as well as in other parts of the world having similar climatic conditions.

Laser line scanner aptitude for the measurement of Selective Laser Melting parts

Sayang Heulang Beach is a beach tourism area in Garut Regency, West Java. The Garut Regency Government carries out the construction and development of tourist facilities to support tourism activities and add attractions to increase the number of tourists. In the development and construction of tourist areas, it must adapt to the conditions of the surrounding environment so that its sustainability can be maintained. This study aims to analyze the suitability and carrying capacity of the area, as well as to determine the perception of the public and tourists on the condition of the tourist area of Sayang Heulang Beach. This research was conducted in December 2021 - May 2022 in Mancagahar Village, Pameungpeuk District, Garut Regency, West Java. The method used in this study is a survey method in the form of primary data collection including tourism suitability index parameters (depth, beach type, beach width, base material, current speed, water brightness, beach slope, land cover, availability of clean water and hazardous biota) and carrying capacity of the area, the perception of the community and tourists through the provision of questionnaires/questionnaires, as well as direct observation in the field. Secondary data is obtained through literature studies such as data from agencies. The results of this study indicate that the index value of the suitability of beach tourism at Sayang Heulang Beach at 3 points of the research station is 86% which is categorized (S1) as very suitable for beach tourism activities. The area's carrying capacity for beach recreational activities at Station I can accommodate 529 people/day, Station II can accommodate 125 people/day, and Station III can accommodate 153 people/day. The perception of the public and tourists in the Sayang Heulang Beach area on the variables of tourism potential and development, facilities, and services received a good perception according to the community and quite good according to tourists, while tourist attraction and accessibility received a fairly good perception.Keywords: Area carrying capacity; Beach tourism; perceptions; Public and tourist; Tourism suitability

Sayang Heulang Beach is a beach tourism area in Garut Regency, West Java. The Garut Regency Government carries out the construction and development of tourist facilities to support tourism activities and add attraction to increase the number of tourists. In the development and construction of tourist areas, it must adapt to the conditions of the surrounding environment so that its sustainability can be maintained. This study aims to analyze the suitability and carrying capacity of the area, as well as to determine the perception of the public and tourists on the condition of the tourist area of Sayang Heulang Beach. This research was conducted in December 2021 - May 2022 in Mancagahar Village, Pameungpeuk District, Garut Regency, West Java. The method used in this study is a survey method in the form of primary data collection including tourism suitability index parameters (depth, beach type, beach width, base material, current speed, water brightness, beach slope, land cover, availability of clean water and hazardous biota) and carrying capacity of the area, the perception of the community and tourists through the provision of questionnaires/questionnaires, as well as direct observation in the field. Secondary data is obtained through literature studies such as data from agencies. The results of this study indicate that the index value of the suitability of beach tourism at Sayang Heulang Beach at 3 points of the research station is 86% which is categorized (S1) very suitable for beach tourism activities. The area's carrying capacity for beach recreational activities at Station I can accommodate 529 people/day, Station II can accommodate 125 people/day, and Station III can accommodate 153 people/day. The perception of the public and tourists in the Sayang Heulang Beach area on the variables of tourism potential and development, facilities and services received a good perception according to the community and quite good according to tourists, while tourist attraction and accessibility received a fairly good perception.Keywords: Area carrying capacity; Beach tourism; perceptions; Public and tourist; Tourism suitability

Application of a Dual-Arm Robot in Complex Sample Preparation and Measurement Processes.

Effective planning at the landscape scale is a difficult but crucial task. Modern landscape planning requires economic success, ecological resilience, and environmental justice. Thus, planners and designers must learn to use a deliberative approach in planning: an approach in which decisions are made with the common understanding of stakeholders. This notwithstanding, there is a lack of localized and site-specific design examples for deliberative planning. One of the lacking examples is agricultural research station, which is unique because it balances economic, academic, and public uses. This study used a Research-by-Design Method to explore deliberative planning for an agricultural research station in Chiang Mai, Thailand. Field surveys, interviews, and archival search were conducted for database. Design decisions were delivered via linear-combination suitability analysis. We found that the site was viewed differently by different sets of users. The basic and safety infrastructure was the top priority, and clear direction of governance was crucial to move the site forward in the future. This study was one of the first recorded attempts to design an agricultural research center via the Research-by-Design process. The method and results of the research contribute to the growing body of evidence to support the need of evidence-based design and planning for all sites.

Prototype, simulation and analogy are crucial to the preparation process for future space missions. In this context Antarctic research station design, construction and operation can provide a useful analogue because the stations provide isolated living and working within extreme conditions in extraordinarily remote locations. The areas for collaboration between the space and Antarctic design communities have only recently begun to be explored and there is much greater potential to learn from each other. Through a review of the design of two Antarctic stations the paper establishes potential fields of collaboration and sets an agenda for this process in the future as a vital ingredient to the success of global and inter planetary scientific research.