Population displacement resettlement is complex system engineering, especially in dealing with big development projects. Successful resettlement should be based on scientific planning, implementing and monitoring. This paper aimed to examine the ESIA instructions, social impacts, mitigations and integrating ESIA into resettlement management of NN2 hydropower project in Laos. The paper shows that, SIA is a process for estimating, identifying, consulting, mitigating and planning those environmental and social impacts into resettlement management of any development project. SIA is still new practice in Laos, which is merged in a same document and instruction of EIA. Both EIA and SIA are required for appraisal documents of development projects. Since NN2 project had environment, social, cultural, economic and agrarian livelihood impacts among PAPs at a large scale. Therefore, the ESIA, reports and plans were conducted by outside companies, which covered executive summary, introduction, project description, profile of PAPs, environmental and social assessment, mitigation measures, environmental and social management plans. The social assessment was more important part, which highlighted the characteristic impacts, stakeholder analysis, institution analysis, public participation and consultation. The social mitigation measures were corresponded through resettlement of social relationship, provision of community resources and cultural site, provision of income and livelihood restoration assistance, provision of public and infrastructures, provision of appropriate training, institutional strengthening and capacity building program, implementing of monitoring and evaluation program. Social action plans and development activities for compensation and resettlement programs were integrated into resettlement management by planning, implementing and monitoring from affected villages to a new town

The development of qualified multidisciplinary-educated engineers is complicated task. At the same moments this is very responsive task. Most of the current social life has for a background the different engineering solutions, support and work. Education of engineers for a today needs is under increasing pressure for non-breakable adaptation to new technical and technological realities. Designing and implementing cyber-physical systems is modern and preferable, and there are work positions in many companies – so students and engineers are interested in it. In the last years the new trend to Internet-of-Things also increased this interest. Unfortunately many of the newly graded engineers start to look for position change after several months of work or at least for extra courses. Now we have a lot of web programmers and many control engineers but there is a lack of people working in the area of the design and implementation of the cyber-physical systems (or as they were known before real-time embedded systems).

Concrete block pavement (CBP) can be an alternative pavement to asphalt and concrete pavements. CBP is formed from individual concrete paving blocks (CPBs) that fit next to one another on a suitable sub base leaving a specific joint space among them to be filled with jointing sand.

CBP differ from other pavements according to their mechanical behaviour, manufacturing technique, structural design, installation technique and structural behaviour. For a serviceable pavement all of these subjects have to be studied. This study aims to design the paver blocks of specified strength and to eliminate the defects arose during the life of the paver blocks.

For this purpose, several designs mixes with different cement contents and W/C ratios were designed and the one meeting all the required criterion is selected. However, even after getting desired strength and other required properties some defects arises in the lifespan of the blocks. These defects are then further studied by collecting data of all the defects.

Defects arising in the paver blocks include mainly edge breaking and lesser strength of the blocks. Recorded data is used for further modification in the design of the blocks and better quality control of material and manufacturing process is obtained. The compressive strength, tensile splitting strength, abrasion resistance, density and % water absorption tests were performed on each mix at 7, 14, 28 days.

This study concludes that with better control at the quality of the materials and in the manufacturing process better products can be made. All the defects arising in the blocks are eliminated with the re-design of the blocks by data collection studies for the defects of blocks

Aggregate production planning (APP) is a mid-term planning tool used to analyze the relationship between the offer and the demand to determine the production levels to satisfy a demand that is not always completely known. It is associated with the determination of inventory, production and work force levels to consider fluctuating demand needs over a planning horizon. This paper presents a Genetic Algorithm approach for solving APP with different selection methods and crossover procedures. Combination of three selection methods and three crossover procedures are taken and compared to choose the best combination for solving APP in this present work. The problem statement depicts multi-plant, multi-product, multi-period APP with forecasted demand. The proposed approach attempts to maximize revenue as well as minimize production costs which includes labor cost, backordering cost,, inventory cost and overtime cost. Results show the outstanding performance of rank selection method and scattered crossover combination.