This study aims to find ways and strategies improve service quality by analyzing the influence of other variables on quality. The are organizational support, work motivation, job satisfaction, commitment. Furthermore, methods for improving education training services found were made recommendations related parties, namely Republic Indonesia Police, leaders institutions, instructors Security Uni...

We study security amplification for commitment schemes and improve the efficiency of black-box security amplification in the computational setting, where the security holds against PPT active adversaries. We show that ω(log s) black-box calls to a weak bit-commitment scheme with constant security is sufficient to construct a commitment scheme with standard negligible security, where s denotes t...

Quantum physics allows for unconditionally secure communication between parties that trust each other. However, when the parties do not trust each other such as in the bit commitment scenario, quantum physics is not enough to guarantee security unless extra assumptions are made. Unconditionally secure bit commitment only becomes feasible when quantum physics is combined with relativistic causal...

The ODO project is an inquiry into constraint-directed scheduling with the primary motivation of the development of a unified foundation for constraint-directed search techniques. Central to this foundation is the exploitation of the knowledge in the constraint representation, the use of commitment assertion and retraction as search operators, a generic model of scheduling strategies, and the u...

In this paper, we present a unified decommitment method to solve the unit commitment problem. This method starts with a solution having all available units online at all hours in the planning horizon and determines an optimal strategy for decommitting units one at a time. We show that the proposed method may be viewed as an approximate implementation of the Lagrangian relaxation approach and th...

Short Term Load Forecasting(STLF) varies from an hour to hour and is used for requirement for control, unit commitment, security assessment, optimum planning of power generation, and planning of both spinning reserve and energy exchange, also as inputs to load flow studies and contingency analysis. Artificial neural networks (ANN’s) has drawbacks like inputs nodes or hidden nodes which can caus...

Short-term load forecasting (STLF) is an essential procedure for effective and efficient realtime operations planning and control of generation within a power system. It provides the basis for unit-commitment and power system planning procedures, maintenance schedul‐ ing, system security assessment, and trading schedules. It establishes the generation, capaci‐ ty, and spinning reserve schedules...