- Bi-criteria Lexicographic Optimization of Short-term Make-and-pack Scheduling Problem
Pongpan Nakkaew * (Department of Industrial Engineering Faculty of Engineering, Kasetsart University, THAILAND ), Wuthichai Wongthatsanekorn (Department of Industrial Engineering Faculty of Engineering, Thammasat University, THAILAND ) , and Nantachai Kantanantha (Department of Industrial Engineering Faculty of Engineering, Kasetsart University, THAILAND )
Keywords: Bee Algorithm;
Makespan; Make-and-pack Production; Hierarchical optimization; Genetic Algorithm.
Make-and-pack process is typically associated with the production of beverages, chemicals, and other products. This paper aims to study this process which has multipurpose storage units with limited capacities and storage times. Other characteristics of the process include sequence-dependent changeover times, batch splitting, partial equipment connectivity and transfer times. In the industry, the planner encounters the scheduling problem of this process and is challenged to issue the production plan that meets the demand of packed products while satisfying all constraints. This research objective is to find the best-possible schedule that is hierarchically optimized given two important criteria. The first criterion is number of tardy jobs and the second is makespan. We propose a bee algorithm to solve this problem. To compare the results of the proposed procedures, computational experiments with GA on numerous case study problems are conducted and discussed.
- Drying Characteristics and Kinetics of Irvingia (African Bush Mango) Fruit Pulp: The Effect of Deterioration
Rhoda Habor Gumus * (Department of Chemical and Petroleum Engineering, Niger Delta University, P.M.B 071. Wilberforce Island Bayelsa State. NIGERIA ), and Ebimieowei Etebu (Department of Biological Sciences, Niger Delta University, P.M.B 071. Wilberforce Island. Bayelsa State. NIGERIA )
Keywords: Effective diffusivity;
bush mango pulp;
Drying characteristics of bush mango (Irvingia species) pulp was studied in a laboratory scale oven dryer at temperatures of 90C, 100C and 110C respectively. Two set of samples, day 0, fruits with < 10 % brownish- black disease rot symptoms and day 3, fruits with ˂ 50% brownish-black rot disease symptoms with 5 mm and 10 mm were studied to evaluate the effect of deterioration and thickness. Due to the rapid deterioration, day 3, fruits with < 50 % brownish-black rot disease symptoms were studied for only 90C and 100C. The Weight loss method was used to estimate change in moisture ratio with respect to time and effective moisture diffusivity. Proximate analysis results showed significant reduction in the values for moisture content with increase in temperature. Three thin layer drying models were fitted to experimental data for day 0, fruits with < 10 % brownish-black disease rot symptoms to test the best fit model; which was selected on the basis of various statistical parameters. Page model was found to be the best at 110C. The values of calculated effective diffusivity ranged from 1.083 x 10-9 m2/s to 9.283 x 10-10 m2/s.
- Visual-based Road Accidents with Dashboard Camera Traffic Monitoring System
Boonsap Witchyangkoon *, and Sayan Sirimontree (Department of Civil Engineering, Faculty of Engineering, Thammasat University, Pathumtani, THAILAND)
Keywords: dashcam; video footage; accident awareness; realtime accident monitoring system
Dashboard cameras (dashcam) become more and more popular due to decreased prices but with higher video qualities. With dashcam, many accidents cases are recorded and distributed as well as webcasted and highlighted to others to possibly learn the causes of accidents. Using dashcam for traffic and accident monitoring system, this work identifies some that were recorded accidents under different situations. The real time accident epoch can be observed and also images can be captured from dashcam footages. The captured images can be enhanced via digital image processing functions in imaging software. From many explored video footages, it finds that dashboard camera is very effective traffic monitoring system. Learning from many video footages accidents, it is hoped that road drivers/users seeing these accident footages will get more awareness in increasing awareness/carefulness on the roadways.
- Understanding Building Compactness Entity, Definition and Concept of Assessment
Mohamed M. Saeed Almumar * (Formerly with Salahiddin University Erbil, Kurdistan Region of IRAQ)
Keywords: Building Geometry;
Indoor environment; Exposure efficiency
This paper aims to set a new understanding, a definition, and an assessment concept for building compactness. It investigates the variation effect of the thermal envelope area on the indoor environment and thermal transmission, and found out that the indoor environment efficiency associates to the variation of the external vertical surface area (walls) by volume of a building as an independent variable, and the thermal transmission corresponds positively with the thermal envelope area by volume. A new definition of building compactness is suggested which involves the performance evaluation of the indoor environment and thermal transmission. Building compactness assessment concept comprises the calculation of compactness value and describing the geometry status, which are derived by measurements of the rates of external building and vertical exposures respectively and their comparison to standards. This paper contributes in improving the architectural design process to ensure efficient indoor environment and energy saving.
- Marker Assisted Selection for Broad Spectrum of Blast Disease Resistance in Rice with Four Pyramided Resistance QTLs
Dipti Wankhade, Tanee Sreewongchai, Pasajee Kongsil and Chalermpol Phumichai * (Department of Agronomy, Faculty of Agriculture, Kasetsart University, THAILAND)
Rice blast caused by fungus Pyricularia oryzae is one of the major factors reducing rice production in Thailand. JHN and IR64 rice varieties have broad spectrum resistance to blast pathogens. CH1 variety has high yield potential, but is susceptible to blast disease in Thailand. This study focused on improving the resistance towards blast in rice varieties by three-way crossing of JHN, IR64 and CH1. The three-way crossing was implemented to introgress blast resistant QTLs into a single genotype. Marker Assisted Selection (MAS) were used to identify four QTLs in preliminary pyramided lines (pre-PYL) from F1, F2 and F3 populations. Genotypic screening was done with five Simple Sequence Repeat (SSR) markers including RM212 and RM319 (chr1) and RM144 chr11 of JHN variety also RM208 (chr2) and RM179 (chr12) of IR64 variety. This resulted in seven ‘pre-PYL’ from F3 lines carrying QTLs identified by MAS that exhibit broad spectrum resistance to tested blast isolates.
- The rSPA Process Realization: The Creation of River Heavy Metal Evaluation Index (rHMEI) by Using Dimensional Subspace of Heavy Metal
Chalisa VEESOMMAI *, Yasushi KIYOKI (Graduate School of Media and Governance, Keio University, JAPAN )
, Pekka SILLBERG , Jari SOINI , Hannu JAAKKOLA (Department of Information Technology, Tampere University of Technology, FINLAND ) and Petchporn Chawakitchareon (Department of Environmental Engineering, Faculty of Engineering, Chulalongkorn University, THAILAND )
Keywords:River Water Quality Analysis,
Multi-dimensional subspace of heavy metal,
river Sensing Processing Actuation (rSPA) processes.
Several implementations in water-quality field are published and the important direction of the result doesn’t give the overall of water quality in parts of heavy metal and lead to uncomplicated for public utilization as a specific word. It’s necessary to realize the tool and processes for analysis system by creating the evaluation index and applying multi-dimensional subspace for minimized limitation. The river Heavy Metal Evaluation Index (rHMEI) on river Sensing Processing Actuation processes is created by using the multi-dimensional space of heavy metal substances, and applied to Pori’s water resource (Finland) and evaluated an effect of nine heavy metal parameters. The rHMEI is feasible and effective for analyzing water quality in several categories. In the implementation of the analysis system, we integrate special knowledge resources in environmental analysis and semantic computing for evaluating water quality in heavy metal parts and interpreting numerical values of heavy metal to feature semantic wording.