..methOds and methOdOLOgy...

Method is somehow creating steps or level of processes to a particular problem. Methodology is somehow creating or combining these methods to create a solution.

That was just based on my understanding.

...Let's CoMmEnt...

Since this topic is to comment from the answer of my classmates in Assignment Number 7, I will now dominate the chance to answer them in a manner of something. Just kidding. Since our theme for this year’s research proposal is about green campus computing, I will now have to comment about what George Dan Gil Duran’s answer. The article he has mentioned is about Green computing: IBM introduces new energy management software By Manufacturing Business Technology Staff –
Manufacturing Business Technology. “No matter where discovery takes place, IBM Researchers push the boundaries of science, technology and business to make the world work better. Our global network of scientists work on a range of applied and exploratory research projects to help clients, governments and universities apply scientific breakthroughs to solve real-world business and societal challenges.”

In this article he mentioned that as part of IBM’s Project Big Green, they have announced new software developed in order to help costumers in maximizing the energy efficiency and reduced cost associated with power and cooling. This latest version of IBM Tivoli Monitoring (ITM) software combines views of energy management information that enable optimization across data centers and facilities infrastructures. Monitoring capabilities offer customers the ability to understand energy usage and alert data center managers to potential energy-related problems and take preventive action. Historical trending and forecasting capabilities enable greater precision in existing environments and energy planning. Autonomic capabilities allow customers to set power and utilization thresholds to help control energy usage. The new software can also help customers handle physical constraints in the data center relating tospace, power, andcooling. This new software of IBM provide not just in data centers but also in non-IT assets such as air conditioning equipment, power distribution units, lighting, and security systems. IBM will join forces with nine partners to offer IBM's IT management expertise with solutions that will allow customers to monitor and control energy consumption across their enterprise to help reduce power consumption and energy costs and better maintain service levels. The partners include:APC and TAC by Schneider Electric: Eaton Corporation: Emerson Network Power JohnsonControls,Inc.Matrikon: OSIsoft: Siemens Building Technologies: SynapSenseCorporation: VMware:

This article simply defines about a technical research about green campus computing. On which is really a great help to us. One example on which what we should do and to create about our research this trend today. Since green campus computing is really about how to make ways on which the user in technology helps save the environment, the idea of IBM is a great help. Not only to satisfy what has the user wanted but also to satisfy the need of the ecosystem. And since that, they have included partners to this project, this maybe is no questionable of this thing would really happen. Green campus computing is now on the trend today, specifically it is being used or common to everyone, especially to those who interacts with technology.

...tOp-tiEr jOurnALS..

Top-tier journals are not that low level kind of journals. Example of the top tier journals are CSP, ACM, i3E. ACM is the world’s largest educational and scientific computing society, delivers resources that advance computing as a science and a profession. ACM provides the computing field's premier Digital Library and serves its members and the computing profession with leading-edge publications, conferences, and career resources. “The Association has become aware of a check fraud scheme where fraudulent checks that appear to come from the Association for Computing Machinery are being used to purchase items from Craigslist or possibly eBay. The Association does not make such purchases. You should contact your local police authorities if you receive one of these fraudulent checks.”, based from their website, http://www.acm.org/. ACM is said to be one of the leading deliverers of good quality journals. That is why, ACM is said to be one of the top-tier journals in the world today. Next journal is the I3E or the Institute 3E. I3E was been founded by Jon DiFlorio with their motto of “True success reflects a mutual commitment to excellence and integrity.”. Institute 3E has devoted themselves to discovering the path to athletic excellence. The answer is multifaceted, and Institute 3E has created a unique training facility with programs that are transforming athletic careers. “Traditional strength training often fails to include key elements that are essential for continued athletic superiority. New discoveries in sports science are shedding light on ways to achieve peak performance. Institute 3E is on the cutting edge of these conclusive approaches by incorporating physical conditioning, mental edge coaching, sports nutrition, lifestyle enhancement, as well as integrated medicine. Each athlete receives individual evaluations leading to personalized programming guaranteed to redefine and improve the athlete's speed, strength and overall abilities, and extract peak performances on a regular basis. No one is more committed to athletic success than Insititute 3E.”, from http://www.institute3e.com/about-me/. ACM and I3E differ itself because basically ACM is a scientific computing society while the I3E is for athletic issues and news. Why are they become popular in their line of field?

Being a journalist during my elementary and in my high school days, I have gone to many activities and seminars to enhance my writing skills. But I don’t know it has been enhanced. So my answer in this question would basically base on the learning’s I have learned during that year, if could still remember it.

In writing or creating a journal, it should be precise and on time. Precise or be exact is the right word to be exact. Sometimes, journalist writes their own topic just according to their points of view or in relation with what they feel. They sometimes draw different corners from what they are writing. Meaning, “paligoy-ligoy effect”. and sometimes they add words or create issues on which it is not real, just to gather the sympathy of the audience or for their personal intentions only. Exactness of the article should be base on time. Do not write an article today which is done yesterday. But in research, it is different. You can write a good research paper based on what has been searched in the past. Next in line is that, write an article which is unique. Article sometimes tend to have its duplicate idea or duplicate issue or topic. One of my adviser in elementary said that in one topic, there are lots of ideas that can be used in order to make a good article about the topic alone even if you have lots of competitors in the trend. Write an article which is different and have different taste from the others. Next is the reliability. Write an article which is really reliable. Do not create or write an article that it was just been intended to catch the audience interest even if there were issues and false issues on it. A good writer should possess a good quality of being reliable as well so that the audience will love the article even the journalist too. Next is the relevance. Same with that it is precise and on time. The article should be relevant to the public’s interest. So that the reader’s won’t say that the article is from another planet or where places in the world. Next is the presentation. The presentation should be ideal and can be seen neatly and clearly. It also should be in proper order so that the reader can read it nice. Next is the credibility. Credibility is the real basis of a good journal. Once the credibility is questioned, no audience will still be interested in reading or purchasing the journal. The main factor of a good journalism is towards the audience directly. To impress directly but not to the extent that the writer should write lies on their journals.

..cOmputer SciEnce ResEarch...

In creating a research, there are two kinds of it. One is for social research and the other is for technical research. Social research refers to research conducted by social scientists (primarily within sociology and social psychology), but also within other disciplines such as social policy, human geography, political science, social anthropology and education. Sociologists and other social scientists study diverse things: from census data on hundreds of thousands of human beings, through the in-depth analysis of the life of a single important person to monitoring what is happening on a street today - or what was happening a few hundred years ago. While on the other half, technical research is an applied research oriented toward engineering disciplines (but not to a specific product or process) and aimed at developing tools and test equipment and procedures, and at providing solutions to specific technical problems.

The question really is about what the state of computer science research is and what the varieties are of technical topics. From the first question, I have read an article titled Computer Science in India. And on how the researches have been a big help in India's technological and economic progress. Computer Science (CS) research in India started in earnest only in the mid-80 triggered by the establishment of post-graduate programs in many institutions throughout the country at that time. Today, almost all areas of computer science research are covered by researchers in India, including topics that are "hot" elsewhere such as multi-media, workflow automation, virtual reality, and hardware-software co-design he territory covered by Indian researchers is impressive and most of the research problems tackled are of current interest globally. Some of the research has even attracted international attention including work on neuro-fuzzy systems, machine learning, genetic and neural algorithms, the modeling and control of flexible manufacturing systems, speech synthesis, databases, and complexity theory. One area where solutions unique to Indian conditions have been developed is machine-assisted language processing. With a vast population conversing in a multitude of languages (there are over twenty officially-recognized regional languages!), many with their own scripts, the problem of translation and transliteration from English to these languages and from one Indian language to another is daunting, but one which has the potential for a huge pay-off, -- socially, politically, and economically. It is not surprising that many computer science researchers are grappling with this problem. Some of the solutions are quite mature, and available as commercial software offerings. Many of these permit interactions with the computer in a local language, using keyboards designed explicitly for the language.

The results of the efforts mentioned above demonstrate that it is possible to carry out high-quality research in India, leading to publications in visible international journals; the potential exists and the resources can be garnered. However, most of the rest of the research is found wanting in quality. Incremental solutions -- developed relative to an existing published result, and the lack of in-depth evaluations -- are the norm. A senior faculty member at an IIT summarized the status of computer science research at India's leading basic research institutions thus: "The averages are there, but the peaks are not."

Several explanations can be offered for this gap between potential and reality. They relate to an ill-defined definition of the purpose of research in a developing country like India, absence of incentives as well as recognition, lack of critical mass in most research areas, paucity of resources -- both in quality and quantity, suboptimal utilization of what is available, low funding levels and the missing of accountability.

There are many in Indian computer science who argues that the goals of research and development in India ought to be manpower development, increasing competence, and keeping faculty up-to-date with current techniques. Towards this end, it is said that "reinventing the wheel" is not only necessary but also important. This might be one of the reasons that even though it is said (repeatedly) that India has one of the world's largest technical manpower, the manpower needed to do state-of-the-art research is found to be wanting, both in quality and quantity. According to Prof. Mahabala of Indian Institute of Technology (IIT) Madras, this is because the "driving forces are not here." Since highly-trained, quality manpower is the key to the founding of new enterprises and for entering novel highly value-added arenas, many policy makers appear concerned with this issue. It is high time, since many echo Prof. Narasimhan, a doyen of Indian computer science, who feels that "there is no systematic effort to break new ground" even though information technology is more available now.

A stumbling block is the prevalent view that it is difficult to do "cutting-edge" research in India. A related view is that "creating new areas is very difficult, but contribution to an existing area is possible". A researcher who recently returned to India from the U.S. said that, because of this, one needs to come equipped with broad-based interests rather than a narrow focus. (As it turns out, whereas for almost twenty years research organizations had a difficult time attracting Indian researchers working abroad, the last few years have begun to see a reversal in this trend.)
Because of the breadth of research coverage, in most areas of computer science research there is a subcritical research force as a result of which most Indian researchers work in isolation. They hence miss the much-needed opportunity to interact with peers and fellow workers in their area of specialization. Even when there are related efforts elsewhere within the country, as a researcher admitted, "Indians don't know what others are doing." With the current availability of e-mail, a few researchers have begun collaborative efforts, mainly with colleagues overseas. Many are of the opinion that cooperation among researchers within India will not pick-up substantially due to the limited monetary resources available and the severe internal competition that it implies. One of the fall-outs of the subcritical research mass has been the inability of the funding agencies to obtain quality peer reviews.
One area that does not suffer from this problem is computer science theory. Most research-oriented academic departments have a substantial theory group, often the only group with critical mass. These researchers do not have to contend with the lack of resources and many with mathematical background find it an easier area to (re)train themselves in.

Besides a few research groups, ones with the required critical mass, very few researchers work with long-term research goals -- needed to have a coherent vision -- and strive to achieve it. This, along with an apparent lack of recognition of "sparks", a problem mentioned by many junior faculty, are cited as two of the many reasons for lower visibility of Indian computer science research. Another reason given is the paucity of research funds and the manner in which it is administered.
This research study in India has been funded along the way in order to create a blastful research. This kind of study is not only for the Indian alone, but as well to the community all over the world. This is one of the bases that the creation of this research is a proof that computer science research is growing. But on the other half, the creation of this article is basically one of the factors that Indian community is more likely coming to full.

These are the Technical Topics in which Computer Science Researches are now focused: 1. other fields of science,0
2. Engineering,
3. Commerce
4. Electronic Teaching
5. Information Retrieval, Databases, and Data Mining
6. Machine Learning
7. Networking, Distributed Systems, and Security
8. Robotics, Computer Vision, and Graphics
9. Software Systems and Architecture

Source:
http://www.fas.org/nuke/guide/india/agency/krithi2.html#nat

...How Do we knOw if A rEsEarch wOrk is gOod...

The first question stated of how do I know if the research work is good or not. This question is intended foe me as well. Since we are doing research now. For me, research is somehow like searching or studying a specific idea based from the past or creating your own idea as well. A good research is not based on the perspective of the researcher alone, it should be validated and studied for a period of time. Because of this, based on my understanding alone, a good research work is not only based on the researchers own idea of creating the research. It should be validated and the work should answer the question of why do such research. Meaning, a good research work answers the question of the researcher or in other words it provides a conclusion.

From the second question, how are they being evaluated, here is my answer. I will now base my answer on the answers provided by Ann. Since we gather the same section. First is the reusability. Reusability in the sense that the research work alone is not intended to end there. Research alone is rising every year. Meaning the research is usable for a long period of time and not intended to end. Everyday, we are doing research works. In creating a research, the work must be understandable to the next one using it. That’s one of the criteria in evaluating research work. Next is originality. Research, mostly, is based on past ideas. In creating research, the research that is done within your time should perhaps have the same idea from past. But not really having the same concepts cause it can be said to be plagarism. “The core idea should be original. A pioneering paper may face more challenges during reviewing (which is inherently conservative) than an incremental paper, but the most cited papers are pioneering papers. I will cite your paper if I use an idea of your paper is one of the oldest references I can find for that idea.” On real basis, the mean point of the second criteria is dealing on own’s idea. Researcher have their own idea, each researcher have their own idea. Next is effectiveness. “There should be some experiment evidence that the core idea works better than th past ideas or better than reasonable baselines. Reviewers care deeply about this, I will want to use your idea if you can show me that it works on tasks that I care about.” Research is not on papers alone, it should become helpful in such a way that it would provide some solutions to the first question on the first part of doing the research. Next is the timeliness. The urgency of the topic why is it being done now, not yesterday, and not tomorrow. While no number of sources can be called automatically "enough," the assignment requires that you find sources of sufficient quality to support what you say you know about your topic. Scholarly sources are preferable, but in some disciplines the popular-scholarly source can be used for support if corroborated by scholarly sources. See me for advice about this. In the end, though, one of the most complex and subtle measures of your readiness for upper-division college writing will be your ability to match source quantity and quality to the strength of claims made by your thesis and the demands your readers are likely to make.Articles are the sources of the most recent and most tightly focused analysis on your topic. Students who rely on books because OLLI is easier to use, or because books appear to have "more on the topic," are still thinking at a pre-college level. They do not understand how quickly book-length manuscripts become outdated, and how books' much larger theses can make it difficult for students to extract useful support from them without misunderstanding what they are borrowing. Take seriously the task of reading scholarship in your field. The popular works available will not give you the authority to say things that will persuade your professors. You can use popular-scholarly journals and scholarly reference works to give you a "ladder of expertise" so that you can read professional scholars' work, but you eventually will have to join the dialogue they are conducting several times each year in their field's scholarly journals. You can learn a lot from "negative success" at reading scholarly work, too. If you are trying your hardest, using all the aids available (including asking teachers in the subject for help), and you still cannot read the scholarship near the end of your first year of study, you probably should rethink your intended major.

http://faculty.goucher.edu/eng105sanders/research_paper_evaluation_criter.htm

...fOr Our futUrE cArEer...

In creating a full blown or a significant research, it must be said to have a good research topic, in which it was never been easy to us. Really, creating the topic alone is difficult, maybe because the theme is too broad to be identified clearly, or maybe because, it was me who made it difficult.

Research, to be defined first, is actually creating or revising what is being searched before. That’s why it is called research. Research then is something that is on your own idea, formulating a solution to problem. But somehow to me, research is a problem. Joke. In formulating a research topic, it must be in accordance to the theme, to the trend, and somehow helpful. That’s why it is called research by then.

I remember what our instructor said about our lesson in research. Research is not about just passing the subject alone, but creating or evaluating an idea that is on the trend this time together with the theme with matching on the level of the studies of the researchers. Actually, what really makes hard on creating a research topic is the fact that it will be implemented on the later run. I hate programming or creating systems. I don’t know why I ended up becoming a 4th year student only to find out that programming is not my forte, so much for that discussion. Next, in formulating a research topic, it must be in line with the theme, which is green campus computing and it should be a technical report on which it must consist of statistics, graphs, or a program itself. Green campus computing or green computing is a broad topic to be discussed. On our advocacy last year about it, green computing is somehow creating or making a possible simple solution to the new trend technology today on how to use it properly. Then, somehow, technicalities are not on the sense of it, on the first look. But actually, it has many ideas but somehow not on the level of knowledge of an IT or a CS student. There are some being done as a gadget, green gadget that is intended to be provided as an alternative to the one being used today. But actually, that was not the real question. I was just bluffing because it is not that really simple in creating a research topic, even the topic itself.

The real question is “What do you think is the role of research topic in deciding your future career?”. Like what I have discussed in above paragraph, research is somehow a document that it is intended to solve problems with simple ideas, or somehow solving big problems with your idea based on readings, article, facts, and books.
Like what I said again on the paragraph above, creating research topic is not that easy. Once you create a research problem, the researcher must first ask himself / herself with what might be the possible problems to be tackled. And that makes me think that research topic is somehow not that difficult to find, it’s the problem to be solved is the difficult one.

During the day wherein almost my classmate’s research proposal has been approved, it was in me who made it difficult. The first that comes out from my mind is that, what might be the problems that should or might be intended to be solved in line with the theme and should be simple but helpful? In the real world alone, without analyzing what we are doing, we are actually creating our own research topic. We are solving our problem in a sense of putting things together. After the class, me and my partner went out to the field and keep looking at the world around us. In that scenario, I was actually seeing the deep side of the world on which I never seen before. There were lots of problems to be discussed, it’s just were taking things simply, not seriously.
What do you think is the role of research topic in deciding my future career? I really don’t know the answer. Joke. The role of research topic in deciding my future career is simple, but I can’t explain. Joke again. In this question, it made me think that is it really a great help for me? My former classmates once told me that research is a great help for me especially in applying for job. It’s one of the basis or factor to tell that you are adequate or have a reasonable qualification to be hired. But not all research topics are good. Research topics are all acceptable, but not all are good. What if the research is for 30 years ago application solution, so it’s not on the trend, so one factor that it is a big help for my future career is after my career as a student here in university.

On the real world basis, actually, once a person has a problem, that person should or must have the guts to solve it. He or she is actually creating his or her own research documentation with implementation. Just like in research alone, it must have a problem to be solved. So in real world, research is really in working. Another thing, it is somehow creating your own research topic to be discussed and to have a formulation of creating solution to the problem.
The conclusion is that research topic is not only formulated or become useful in the economy alone, or in the industry or after graduation, research topic is somehow become useful even in the daily living. We do actually researches every day, it’s just we don’t tend to evaluate it as a research in real.