In this paper, a single machine sequencing problem is considered in order to find the sequence of jobs minimizing the sum of the maximum earliness and tardiness with idle times (n/1/I/ETmax). Due to the time complexity function, this sequencing problem belongs to a class of NP-hard ones. Thus, a special design of a simulated annealing (SA) method is applied to solve such a hard problem. To co...

In this research, the protonation constant value of tannic acid was determined at 25 °C and different ionic strengths (0.1 to 0.7 mol/dm3 NaCl) using potentiometric titration technique. The dependence of protonation constant on ionic strength was modeled and discussed by a Debye-Hückel type equation. Then, based on the obtained data from experiments, the minimizing Sum o...

Oxygen therapy besides having benefits also has certain dangers and side effects. For this reason, oxygen must be given at the proper dose by monitoring patient regularly adjusting flowmeter. The accuracy of flowmeter under standard conditions is guaranteed manufacturer. With time use precision may change flow in a hospital setting differ from original value. Thepurpose research to conduct furt...

This paper proposes a generic self-calibration method for central cameras. The method requires two-view point correspondences and estimates both the internal and external camera parameters by minimizing angular error. In the minimization, we use a generic camera model which is suitable for central cameras with different kinds of radial distortion models. The proposed method can be hence applied...

Sensitive error correcting output codes are a reduction from cost sensitive classi cation to binary classi cation. They are a modi cation of error correcting output codes [3] which satisfy an additional property: regret for binary classi cation implies at most 2 l2 regret for cost-estimation. This has several implications: 1) Any 0/1 regret minimizing online algorithm is (via the reduction) a r...

Abstract. The area under the curve (AUC) measures such as the area under the receiver operating characteristics curve (AUROC) and the area under the precision-recall curve (AUPR) are known to be more appropriate than the error rate, especially, for imbalanced data sets. There are several algorithms to optimize AUC measures instead of minimizing the error rate. However, this idea has not been fu...

In the Superset Label Learning (SLL) problem, weak supervision is provided in the form of a superset of labels that contains the true label. If the classifier predicts a label outside of the superset, it commits a superset error. Most existing SLL algorithms learn a multiclass classifier by minimizing the superset error. However, only limited theoretical analysis has been dedicated to this appr...

Advances in semiconductor memory technology towards higher-density and higher-performance memory chips have created new reliability challenges for the memory system designer. An example would be the multiple-bit-per-chip organization with the chip outputs used in the same word. This design structure would be prone to uncorrectable errors with conventionally implemented single-error-correcting d...

Handgrip strength (HGS) is an easy-to-use instrument for monitoring people's health status. Numerous researchers in many countries have done a study on handgrip disease or demographic data. This focused classifying aged groups referring to value using machine learning. A total of fifty-four participants had involved this study, ages ranging from 24 years 57 old. Digital Pinch Grip Analyzer been...