Possible Application of Solver Optimization Module for Solving Single-circuit Transport Problems

The article deals with the possible application of the Solver optimization module to solving the single-circuit transport problems. First, the article describes the single-circuit transport problems and the optimization module Solver itself. Using the specific model example of beer distribution, the author demonstrates the algorithm which may be applied to solving single-circuit transport problems by means of Solver. The travel route designed by Solver is then compared with the originally proposed route. The values being compared include the total length of travel routes created and the associated variable costs spent on serving customers and also route design time. Thus, using the practical example of beer distribution, the manuscript has demonstrated the algorithm which is used for addressing the single-circuit transport problems. Nonetheless, possible application of the Solver tool is not limited to seeking a solution to the travelling salesman problem only. It can also be implemented even to discussing the multi-circuit transport problems with various confinements.

Opinion Relation Co-Extraction Based on Partially-Supervised Topical Relations Word Alignment Model

The most critical tools for fine-grained opinion extraction are opinion goals and opinion terms extracted from on-line comments. The key part of this process is to identify the connection between terms. To do this, the Word Alignment Model (WAM) was introduced in which the associated variable can be identified by word alignment by an opinion goal. Nevertheless, its ability to extract opinion words was less successful. In order to determine opinion connections as a process of alignment, the partially supervised Word Alienation Model (PSWAM) has therefore been created. Then a visual co-ranking algorithm was implemented together with the Opinion Relationship Map, to model all the candidates and to measure the confidence of each voter by defining their opinion. In addition, higher-confidence candidates were extracted as opinions or opinions. This method, though, involves an added kind of interaction with terms such as topical connections in graphic thought. Therefore the current relationship is assumed in this report in order to model the applicants and derive the feelings, views and opinions. The efficiency of co-extracting thoughts, viewpoints and issues is enhanced effectively by using this method. The experimental results further indicate that compared to the existing paradigm, the efficiency of the proposed model.

Analisis Faktor Risiko Keluhan Muskuloskeletal pada Pandai Besi di Kecamatan Alak Kota Kupang

Blacksmith are the job that produced sharp object like knife and choping knife. Worker doing with explanated by the factors that associated with musculoskeletal disorder. This research aim to know factors associated with musculoskeletal disorder in blacksmith in Alak Subdistrict Kupang City, 2018. This is an analytic research with Cross Sectional design. Population on this study amounted to 31 that used chi square analyze. This research doing at November 2018 in the three kelurahan that Kel. Alak, Kel. Nunbaun Sabu and Kel. Namosian with 31 worker and used total sampling. Dependent variable: Musculoskeletal Disorder. Independen variable: age, cumulation year of worked, time work per day, smoked habitual, work load, work posture, work temperature and noise.At this research, from 31 respondents be found 26% minor sigh, 39 % mild sigh dan 35% sever sigh. Staticsly associated variable are: cumulation of year worked (-Value 0,047), kerja, time work per day (p-Value 0,013), dan work posture (p-Value 0,031). Doesn’t associated variable: age (p-Value 0,457), smoked habit (p-Value 0,551), work load (p-Value 0,682), work temperature (p-Value 0,764) and noised (p-Value 0,302). Blacksmith must be better work posture and time of worked perday and hope so the other principal review variable that’s no researching at this research.

Alternatives to Traditional Repricing of Executive Stock Options

The main purpose of this paper is to examine two commonly used alternatives to traditional repricing (TR) of executive stock options (ESOs) in a dynamic agency model. TR practices have become obsolete since new accounting rules took effect in July 2000. To avoid associated variable accounting charges that cause uncertainty in future reported earnings, companies have tried several TR alternatives as solutions to rescuing underwater options. We justify the occurrence of TR alternatives and quantify the impact of the marking-to-market feature imbedded in the new accounting rules. We also propose an incentive measure which is comparable to the subjective value of ESOs claimed by Ingersoll, J (2006) to rank TR alternatives in terms of agent's incentive.

Measures of Information in Generalized Constraints

The concept of a generalized constraint is introduced and as means of representing different kinds of information. The measurement of the amount of information contained in these constraints is then considered. First we consider possibilistic constraints, those in which the associated variable can take on only one value and show that the measure of specificity provides the appropriate measure. We then provide a measure of information in a fuzzy graph. We next turn to veristic constraints, those in which the associated variable can assume multiple values, and show that the associated measure of information is the negation of the measure of fuzziness. Finally we discuss the idea that their can exist some uncertainty associated with the variable in a generalized constraint and provide some measure of the information about the variable.