The rise of e-recruiting has change the way of traditional style of recruiting greatly, not only enhancing the efficiency of recruiting , lowering the cost of recruiting and broadening the scope of recruiting market for industries, but also saving more mental and physical efforts getting information about job opening for job seekers .According to a market research conducted by ORC in 2005 , the percentage of industries using internet to recruit people is rising from 56%(2004) to 75%. The statistics released by Insightxplorer company also points out that 80.9% of job seekers is using the internet to seek for employment more than using other tools. Job boards is especially showing its importance as a way of recruiting and applying for a post in Taiwan. This research targets job board that has highest market share in Taiwan, gaining experience and evaluation from job seekers and recruiters viewpoints through case study, in order to obtain a diversified angles of vision and give a thorough description and interpretation of job boards¡¦ using.

With the advances of wireless communications and micro-electronic device technologies, wireless sensor networks have been applied in a wide spectrum of applications, including one of the killer applications--object tracking. Among numerous challenges in object tracking, one of the important issues is the energy management. One solution to the above issue is the mobile agent-based paradigm. Using the mobile agent in wireless sensor networks has many advantages over the client/server paradigm in terms of energy consumptions, networks band-width, etc. In this thesis, we adopt the mobile agent-based paradigm to support object track-ing in wireless sensor networks. Although using the mobile agents for object tracking can improve the overall perfor-mance, the hurdle is the determination of the mobile agent itinerary. The past studies on ob-ject tracking considered the object¡¦s movement behavior as randomness or the direction and the speed of the object remain constant for a certain period of time. However, in most real-world cases, the object movement behavior is often based on certain underlying events rather than randomness complete. With this assumption, the movements of objects are some-times predictable. Through the prediction, the mobile agent can determine which node to mi-grate in order to reduce energy consumption and increase the performance of object tracking. In this thesis, we develop a mining-based approach to discover the useful patterns from the object¡¦s movement behavior. This approach utilizes the discovered rules to choose the sensor node the mobile agent needs to migrate in order to reduce the number of wrong migration, to reduce total energy consumed by sensor nodes, and to prolong the lifetime of the wireless sensor network. Experimental results show the efficiency of the proposed approach.

There was the Financial Tsunami in 2008. It made many organizations to think about how to sustain business. Therefore, the IT(Information Technical) industries will be replace by Energy Technical industries. Organizations must face the new environment and rethink new business model, renew and change form organizations inside and outside. In organizations area, organizations will apply some behavior science method to change to affect the values, attitudes or behaviors of employees, then reach the purpose of organization potential development. For live and reach goal, organizations must adjust flexibly to suit outside environment. Meanwhile, to keep the inside be stable and avoid to disintegrating and deco by using change activities. Between the forces of suit and sustain, the topic of how to strongly to grow up for organizations is getting important. OD (Organization Development) certainly provide managers and members a series tools to reach goal. Especially managers in this moment must manage change. OD is a good choose for managing change. Organization greening will be the trend in the big environment. It is a important topic for organizations to manage change and make a good OD plan. The investigation via documents discussing and case study, visit seven organizations to talk, the finding as following: A. In OD strategies, the change agent and intervene technical variety can increase the purpose of OD. B. The technical industries need more different change agents and intervene skills then traditional industries due to their complex greening strategies. C. Set green vision or green mission and announce to public is a good idea to make green OD strategies process smoothly. They can make members to build green values and attitude then further to change their behaviors. D. Technical industries use committees to be change agent due to they have more complex greening scope then traditional industries. Technical industries focus the system oriented and culture oriented both. E. If OD strategies contain extend original products scope, using activities investigate technical is a good chooses. F. When designing intervene technical, having guided activities will have the best result for changing behaviors of members. G. It can help processing greening organizations if organizations have the base of CSR.

Nowadays, the location technology in the field of the Intelligent Transformation System (ITS) is used generally. Most of location devices on the cars are low-cost GPS, however, it¡¦s not enough if we want to combine with the safe algorithm. Hence, we present a suit of vehicle collision-avoidance system which combined location technology with Intersection-agent in this thesis. The system uses vehicle sensors and GPS information to calculate in Extend Kalman Filter, in order to get the optimal location information. Furthermore, Map-Matching algorithm is used to match the vehicle location on the right road. As to the driver¡¦s safety, laser range scanner¡¦s data are used in fuzzy algorithm and calculate the safe distance between cars. In the intersection area where accident happened most, we also combine with Intersection-agent system to enhance safety. When moving objects cross through the intersection area, Intersection-agent system would use laser range scanner to find the moving objects¡¦ position and velocity, judging whether they can pass the intersection safely or not. Once it¡¦s not safe, system would send out warning signal to the drivers to brake cars, also, passing the position information to car location system by wireless RS-232 transceiver, to decrease location error and let vehicle¡¦s location precision more accurate. In brief, this thesis combines with vehicle location, wireless transmission, car following warning system and Intersection-agent. And make sure this system we developed can fit in with traffic requirement in many experiments.

This dissertation develops and evaluates a new adaptive traffic signal control system for arterials. This control system is based on reinforcement learning, which is an important research area in distributed artificial intelligence and has been extensively used in many applications including real-time control. In this dissertation, a systematic comparison between the reinforcement learning control methods and existing adaptive traffic control methods is first presented from the theoretical perspective. This comparison shows both the connections between them and the benefits of using reinforcement learning. A Neural-Fuzzy Actor-Critic Reinforcement Learning (NFACRL) method is then introduced for traffic signal control. NFACRL integrates fuzzy logic and neural networks into reinforcement learning and can better handle the curse of dimensionality and generalization problems associated with ordinary reinforcement learning methods. This NFACRL method is first applied to isolated intersection control. Two different implementation schemes are considered. The first scheme uses a fixed phase sequence and variable cycle length, while the second one optimizes phase sequence in real time and is not constrained to the concept of cycle. Both schemes are further extended for arterial control, with each intersection being controlled by one NFACRL controller. Different strategies used for coordinating reinforcement learning controllers are reviewed, and a simple but robust method is adopted for coordinating traffic signals along the arterial. The proposed NFACRL control system is tested at both isolated intersection and arterial levels based on VISSIM simulation. The testing is conducted under different traffic volume scenarios using real-world traffic data collected during morning, noon, and afternoon peak periods. The performance of the NFACRL control system is compared with that of the optimized pre-timed and actuated control. Testing results based on VISSIM simulation show that the proposed NFACRL control has very promising performance. It outperforms optimized pre-timed and actuated control in most cases for both isolated intersection and arterial control. At the end of this dissertation, issues on how to further improve the NFACRL method and implement it in real world are discussed.

The multi-agent robotics paradigm has attracted much attention due to the variety of pertinent applications that are well-served by the use of a multiplicity of agents (including space robotics, search and rescue, and mobile sensor networks). The use of this paradigm for most applications, however, demands economical, lightweight agent designs for reasons of longer operational life, lower economic cost, faster and easily-verified designs, etc. An important contributing factor to an agent’s cost is its control architecture. Due to the emergence of novel implementation technologies carrying the promise of economical implementation, we consider the development of a technology-independent specification for computational machinery. To that end, the use of cybernetics toolsets (control and dynamical systems theory) is appropriate, enabling a principled specifi- cation of robotic control architectures in mathematical terms that could be mapped directly to diverse implementation substrates. This dissertation, hence, addresses the problem of developing a technologyindependent specification for lightweight control architectures to enable robotic agents to serve in a multi-agent scheme. We present the principled design of static and dynamical regulators that elicit useful behaviors, and integrate these within an overall architecture for both single and multi-agent control. Since the use of control theory can be limited in unstructured environments, a major focus of the work is on the engineering of emergent behavior. The proposed scheme is highly decentralized, requiring only local sensing and no inter-agent communication. Beyond several simulation-based studies, we provide experimental results for a two-agent system, based on a custom implementation employing field-programmable gate arrays.

Purchase is an important link in business management. Practically, it covers the applications of various theories such as psychology, financial management, international trade, the science of law and other social sciences. However, owing to the relative conservative nature of purchase and the environment under which the ordinary enterprises lay particular stress on sales performance, the real effect of purchase is usually overlooked by enterprises when they receive good profits. In terms of the purposes of business growth and acquirement of market competitive advantages, no matter whether the core competitive power of a company is service, sale or production, or whether a company is of profit-making or non profit-making nature, a purchasing system with economic effect is an indispensable and basic appeal for the operation and management of the company. The primary purpose of this study is to carry out academic study on the differences between theories and practices in the purchasing system and its implementation. The study tries to prove that the excellent ¡§system¡¨ highly praised by the society is not only constructed on a single basis of ¡§formal rules¡¨ with the theory of new institutional economics. It is believed that there are still other factors affecting the result of implementing the system. Through researches, analysis, and comparison between the system and its practical implementation, this thesis finds that the study results are consistent with the three aspects of the new institutional economics: ¡§informal limits¡¨, ¡§formal rules¡¨ and ¡§institutional changes¡¨. That means all drawbacks come from the failure of ¡§informal limits¡¨ such as people¡¦s code of conduct, norms of conduct, customs, culture, habits, etc. and loopholes found in the ¡§formal rules¡¨ under limited norms. Meanwhile, if the root causes of such system failure can¡¦t be found from the informal limits, even though we impose more restrictive conditions on the purchasing system and force it to produce an institutional change, the formal rules after such change are still insufficient to become the main tool for eliminating all drawbacks or an effective method for solving the corrupt practices.

With the takeoff economy in 1980¡¦s, which we call ¡§the era of economy miracle¡¨, many working opportunities boomed at that time in Taiwan. Plus the prevalent education and the low birth rate has stagnated the growth of labors which resulted in more and more mid-sized companies feel the shortage of labor force. In view of those factors, government has approved importing foreign workers for the first time in the year of 1989. Since those foreign workers come from different countries where cultures have dissimilarities from those in Taiwan, while managing those workers, different cultural backgrounds, religions, values and customs need to be taken into account. The purpose of this paper is to study foreign worker management under national cultural dimensional perspective. The respondents are Taiwanese and Filipino entry level workers from ASE (Advanced semiconductor Engineering Group), the world's largest provider of independent semiconductor manufacturing services in assembly and test. located in NEPZ (Nantze Economic Processing Zone). The research methodology I used is a re-fined paper questionnaire based on Hofstede¡¦s international attitude survey which was revised by Lu Long-Chuan to incorporate a much more suitable questions for industries, From the results, we know that different management should be applied to foreign workers who have different cultures from Taiwanese. Filipino workers have higher mean on ¡§Power distance¡¨, ¡§Masculinity¡¨, and ¡§Individualism¡¨, and Taiwanese workers have higher mean on ¡§Uncertainty avoidance¡¨ and ¡§Long term orientation¡¨. The higher mean, the higher inclination to each dimension. By incorporating those dimension inclinations with living management and working management, plus the interviews, I came up with improved management for employers¡¦ references.

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